وظائف محلل بيانات في الأردن

</span></i></b></span></span></p> <p align="center" dir="RTL" ><strong><span >مطلوب: اخصائي بيانات وصفية </span></strong><strong><span dir="LTR" >(Metadata Specialist)</span></strong><span dir="LTR" ></span></p> <p align="center" dir="RTL" ><span >تعلن شركة متخصصة في حماية الحقوق الرقمية وإدارة الأصول الرقمية عن توفر شاغر وظيفي لأخصائي بيانات وصفية<span dir="LTR" > (Metadata Specialist).</span></span></p> <p dir="RTL" ><strong><span >المتطلبات</span></strong><strong><span dir="LTR" >:</span></strong><span dir="LTR" ></span></p> <p dir="RTL" ><span >-<span >  <span >حاصل على درجة البكالوريوس في أحد تخصصات علوم الحاسوب، أو الإعلام الرقمي ووسائل التواصل الاجتماعي، أو اللغة الإنجليزية، أو أي تخصص ذي صلة<span dir="LTR" >.</span></span></span></span></p> <p dir="RTL" ><span >-<span >  <span >إجادة اللغة الإنجليزية قراءةً وكتابةً ومحادثةً<span dir="LTR" >.</span></span></span></span></p> <p dir="RTL" ><span >-<span >  <span >مهارات تحليلية ودقة عالية في التعامل مع البيانات<span dir="LTR" >.</span></span></span></span></p> <p dir="RTL" ><span >-<span >  <span >سرعة التعلم والاهتمام بالتفاصيل<span dir="LTR" >.</span></span></span></span></p> <p dir="RTL" ><strong><span >مميزات الوظيفة</span></strong><strong><span dir="LTR" >:</span></strong><strong><span ></span></strong></p> <p dir="RTL" ><span >-<span dir="LTR" > <span >لا يشترط وجود خبرة طويلة<span dir="LTR" >.<span ></span></span></span></span></span></p> <p dir="RTL" ><span >-<span dir="LTR" > <span >توفير تدريب كامل على الأنظمة وقواعد البيانات<span dir="LTR" >.<span ></span></span></span></span></span></p> <p align="center" dir="RTL" ><span >إذا كنت تتمتع بالدقة والتنظيم وتهتم بالعمل مع البيانات وقواعد المعلومات، نتطلع لاستقبال طلبك والانضمام إلى فريقنا<span dir="LTR" >.</span></span></p> <p align="center" dir="RTL" ><strong><span >للمهتمين، يرجى إرسال السيرة الذاتية إلى البريد الإلكتروني التالي</span></strong><strong><span dir="LTR" >:</span></strong><strong><span ></span></strong></p> <p align="center" dir="RTL" ><span ><a href="mailto:hr.tv@outlook.com" target="_blank"><strong><span dir="LTR" >hr.tv@outlook.com</span></strong></a><span ></span></span></p> <p align="center" dir="RTL" ><span >مع كتابة <strong><span dir="LTR" >Metadata Specialist</span></strong><span dir="LTR" > <span > في عنوان الرسالة<span dir="LTR" >.</span></span></span></span></p>

<p>تدعو شركة الموسوعة للاستشارات الهندسية و الإدارية الراغبين في العمل ومن كلا الجنسين ومن جميع محافظات المملكة و من يمتلك<br>المؤهلات المطلوبة للتقديم الى فرص العمل المعلنه<br>ملاحظة: ان الشركة مسؤولة عن استحصال التصاريح و الموافقات المطلوبة من الجهات الرسمية<br><br>مدة التقديم: 20 يوم من تاريخ الاعلان</p><p>closing time for accepting applications july 4-2026<br>&nbsp;(enumerator/ data collector) المطلوب: جامع بيانات و معلومات \ استبيان<br>رقم الإعلان: 2026\001<br>الهدف من الإعلان<br>جمع البيانات و المعلومات المتعلقة بخدمات المياه و الاصحاح البيئي بشكل احترافي و ضمن المعايير المهنية المعتمدة وذلك من خلال القيام بالمسوحات الميدانيه و تعبئة استمارات الاستبيان باستخدام أجهزة الموبايل او التابلت و ذلك من خلال القيام بزيارات منزلية الى المجتمعات الأردنية و مخيمات اللاجئين و اجراء مقابلات مع ممثلي الجمعيات المحلية و مزودي خدمات المياه و الاصحاح البيئي حيث يشمل العمل الاتي<br>يقوم المساح و من خلال التنسيق مع فريق التقييم ووفق الخطة والاليه المعدة لأجراء التقييم، بتحديد العينة المستهدفة للتقييم ضمن نطاق الموقع الجغرافي المحدد وضمن المحددات المطلوبة على ان تكون العينة المحددة ممثله لكافة الاطياف المجتمعية و تمثل المنطقة بشكل عادل ضمن نطاق المنطقة المستهدفة<br>يتم مراعاة و احترام التقاليد و ان يتم التقييم ضمن ساعات العمل المعمول بها<br>ان يقوم المساح بالتنسيق مع الجمعيات المحلية و الجهات ذات العلاقة فيما يساعد في تحديد العينه ويخدم اجراء التقييم الاستبيان<br>القيام بالزيارات المنزلية و اجراء المقابلة مع رب الاسرة او من ينوب عنه و طرح الأسئلة المكتوبة في قائمة الاستبيان و تعبئة استمارة الاستبيان&nbsp; مع الحرص على اشراك بقية افراد الاسرة (الزوجه و الأطفال و اليافعين والشباب و ذوي الاحتياجات الخاصة و الاعاقه) اناث و ذكور<br>اجراء الملاحظات على المرافق الصحية مع تقييم ممارسات الاسرة فيما يتعلق بترشيد استهلاك المياه و النظافة الشخصية<br>المؤهل الدراسي المطلوب: الحد الأدنى شهادة توجيهي (ناجح)<br>أيام العمل : من ال8 صباحا و حتى ال5 مساءا ستة أيام في الاسبوع<br>الخبرة: ما لايقل عن خمس سنوات عمل ميداني مع افضليه لخبره لا تقل عن سنه واحده في مجال جمع البيانات و القيام بالمسوحات الميدانيه و العمل مع المنظمات و الجمعيات الإنسانية<br>القدرة على تحليل البيانات و المعطيات<br>&nbsp;kobo معرفه استخدام أجهزة التابلت و استخدام نظم الاستبيانات الكوبو<br>القدرة على العمل ضمن ظروف عمل صعبه و الالتزام بتوقيتات و جداول زمنية محدده<br>يتطلب العمل الوصول الى مناطق بعيده و نائية<br>قوة الملاحظة ودقة في جمع البيانات و مقدره عالية على الانتباه على التفاصيل<br>المقدره على التواصل و التعامل مع جميع افراد المجتمع و الاسرة (الكبار و الأطفال و الشباب و اليافعين و ذوي الاحتياجات الخاصة)<br>المقدرة على العمل ضمن فريق<br>يفضل معرفه في اللغة الانجليزية<br>التوزيع الجغرافي: كافة المحافظات والاقضية و التجمعات السكنية في جميع انحاء المملكة بالإضافة الى مخيمات اللاجئين السوريين<br><br>ملاحظة هامة: يكون التنقل بين المحافظات و الاقضية والمناطق من مسؤولية جامع البيانات (الشركة غير مسؤولة عن توفير وسائط النقل)</p>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p> <h4>Key responsibilities</h4> <ul> <li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li> <li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li> <li>Document business processes, functional requirements, and business rules.</li> <li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li> <li>Define source-to-target mapping requirements and validate data transformations.</li> <li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li> <li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li> <li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li> <li>Review ETL mapping documents and ensure business logic is correctly implemented.</li> <li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li> <li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li> <li>Maintain business glossaries, metadata, and documentation.</li> <li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li> <li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li> </ul> <h4>Requirements</h4> <ul> <li>Strong business analysis and requirement elicitation skills.</li> <li>Excellent stakeholder management and communication skills.</li> <li>Experience documenting business requirements and functional specifications.</li> <li>Strong analytical and problem-solving skills.</li> <li>Understanding of relational databases and SQL.</li> <li>Basic knowledge of data warehousing concepts such as:</li> <ul> <li>Facts and dimensions</li> <li>Star schema</li> <li>Snowflake schema</li> <li>Slowly changing dimensions (SCD)</li> <li>Data lineage</li> <li>Metadata management</li> <li>Data quality</li> </ul> <li>Experience working in Agile/Scrum environments.</li> </ul> <h4>Preferred technical knowledge</h4> <ul> <li>SQL</li> <li>Data warehouse / data lakehouse architecture</li> <li>ETL concepts and data integration</li> <li>Data mapping documentation</li> <li>Data quality frameworks</li> <li>BI and reporting platforms</li> <li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li> </ul> <h4>Deliverables</h4> <ul> <li>Business requirement documents (BRD)</li> <li>Functional requirement specifications (FRS)</li> <li>KPI definitions</li> <li>Data dictionary</li> <li>Business glossary</li> <li>Data validation and UAT test cases</li> </ul> <h4>Qualifications</h4> <ul> <li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li> <li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li> <li>Experience in the telecommunications industry is highly preferred.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p> <h4>Responsibilities</h4> <ul> <li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li> <li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li> <li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li> <li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li> <li>Oversee analysis of high-volume financial and transactional datasets</li> <li>Design and review executive dashboards and management reports</li> <li>Ensure data accuracy, consistency, and alignment with business logic</li> <li>Support audits, compliance, and regulatory data requests</li> <li>Mentor and guide analysts and enforce best practices</li> <li>Contribute to data governance, quality standards, and documentation</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li> <li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li> <li>Expert-level SQL skills (Oracle preferred)</li> <li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li> <li>Experience working with large transactional datasets</li> <li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li> <li>Ability to translate data into executive-level insights</li> </ul> <h4>Preferred Skills</h4> <ul> <li>Experience with core banking or digital wallet systems</li> <li>Knowledge of revenue assurance, fraud, and risk analytics</li> <li>Exposure to ETL pipelines and data modeling</li> <li>Experience contributing to data monetization initiatives</li> <li>Strong leadership and ownership mindset</li> <li>Excellent communication and stakeholder management skills</li> <li>Ability to challenge existing processes using data</li> <li>Comfortable presenting to senior management and executives</li> <li>High attention to detail and accountability</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions.<br> Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.<br> What You'll Do ❏ Validate data displayed across dashboards, reports, web, and mobile applications ❏ Reconcile source data, transformed datasets, and final analytical outputs ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms ❏ Validate business rules and ensure reported figures align with approved definitions ❏ Identify data discrepancies and investigate inconsistencies before release ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products ❏ Act as the quality gate before dashboards and reports are released to end users ❏ Log, track, and support the resolution of data quality issues ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues ❏ Maintain documentation for reconciliation rules, report logic, and validation processes ❏ Contribute to improving reporting standards, validation checklists, and quality practices You're Our Match If You Have ❏ 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions ❏ Strong SQL skills for data validation, reconciliation, and comparison ❏ Experience working with Power BI, Tableau, or similar reporting platforms ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems ❏ Excellent analytical skills with exceptional attention to detail ❏ Ability to communicate data issues clearly to both technical and business stakeholders ❏ Strong sense of ownership and commitment to data accuracy Bonus Points If You Have Experience With ❏ Validating analytics for web or mobile applications ❏ Government or enterprise reporting environments ❏ Data governance, reporting standards, or data quality frameworks ❏ Supporting executive-level reporting</span> </div>

<p><h4>Description</h4> <p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Validate data displayed across dashboards, reports, web, and mobile applications</li> <li>Reconcile source data, transformed datasets, and final analytical outputs</li> <li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li> <li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li> <li>Validate business rules and ensure reported figures align with approved definitions</li> <li>Identify data discrepancies and investigate inconsistencies before release</li> <li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li> <li>Act as the quality gate before dashboards and reports are released to end users</li> <li>Log, track, and support the resolution of data quality issues</li> <li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li> <li>Maintain documentation for reconciliation rules, report logic, and validation processes</li> <li>Contribute to improving reporting standards, validation checklists, and quality practices</li> </ul> <h4>You're our match if you have</h4> <ul> <li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li> <li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li> <li>Strong SQL skills for data validation, reconciliation, and comparison</li> <li>Experience working with Power BI, Tableau, or similar reporting platforms</li> <li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li> <li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li> <li>Excellent analytical skills with exceptional attention to detail</li> <li>Ability to communicate data issues clearly to both technical and business stakeholders</li> <li>Strong sense of ownership and commitment to data accuracy</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Validating analytics for web or mobile applications</li> <li>Government or enterprise reporting environments</li> <li>Data governance, reporting standards, or data quality frameworks</li> <li>Supporting executive-level reporting</li> </ul></p><p></p>

<p>This is to announce that Amman delegation has a <strong><u>vacancy</u></strong> for&nbsp;<strong>Open-Source Information (OSI) Analyst</strong> at the <strong>Protection Unit in Amman, Jordan.</strong></p> <p>The OSI Analyst works within the multidisciplinary Search Team under the PFL Deputy Protection in Damascus with the OSI Manager in Geneva as his/her functional manager to provide strategic direction to the response to the Syria missing file. In close coordination with the PFL researchers, Forensic expert, and A&amp;E, the OSI Analyst plays a central role in enhancing the Search Team’s response by ensuring that OSI relevant to the Syria caseload is systematically collected, verified, organized, and made available for analysis. This includes both historical data gathered in the aftermath of the fall of the former Syrian government and any new OSI that emerges, with the aim of contributing to the documentation of protection concerns and providing leads and linkage of information to aid the search for missing persons.</p> <p>S/he contributes to the identification of thematic and geographic priorities for OSI collection, supports the triangulation of findings with internal data, witness accounts, GIS information, and privileged data obtained from external organizations through data sharing agreements. The OSI Analyst ensures that the use of OSI follows a rigorous, ethical, and protection-sensitive methodology.</p> <p>This position supports the analysis of individual cases and internal data particularly in light of available OSI and privileged external data obtained through data sharing agreements. Working in close coordination with PFL researchers, Forensic experts, A&amp;E analysts, the OSI Analyst contributes to building a solid and actionable knowledge base to inform search strategies, documentation efforts, providing leads to aid the Search.&nbsp;</p> <p>The OSI Analyst also advises on best practices for data sourcing and verification, develops tools and procedures for quality control, and ensures that the data produced can support timely and evidence-based decision-making, including opportunities to provide partial results to families of the missing. Additionally, the OSI Analyst contributes to institutional working groups focused on building data science and AI foundations for protection work, with the Syria Missing File serving as a key use case.</p> <p><strong><u>General Duties: </u></strong></p> <ul> <li>Understands and adheres to the seven Fundamental Principles of the International Red Cross and Red Crescent Movement.</li> <li>Understands and adheres to the ICRC Code of Conduct.</li> <li>Understands the roles of the components of the International Red Cross and Red Crescent Movement.</li> <li>Respects and observes staff regulations and security rules at all times.</li> <li>Represents the ICRC in a professional manner at all times.</li> <li>Develops and maintains a pleasant and conducive working environment with colleagues and line managers.</li> <li>Performs all duties with the highest level of confidentiality in the interest of the employees and the ICRC.</li> <li>May be asked to perform tasks not covered in this job description and to provide support to other departments when necessary.</li> </ul> <p><strong><u>RELATIONSHIPS </u></strong></p> <ul> <li>Internally: Works closely with the wider Search Team in Amman, Damascus and Beirut, including colleagues in Forensics, A&amp;E, and PFL, and other Protection colleagues in Damascus, Amman, and Beirut. As a contributor to Project aiming at Building the Data Science and AI Foundations for Protection work, for which Syria Missing has been identified as a use case, this position works closely with the Protection Business process owner, the Syria Missing Coordination Cell and other colleagues in HQ and in the field associated to this project.</li> <li>Externally: In close coordination with the PFL Deputy Protection Coordinator in Damascus, DAM PROT and the Syria Missing Coordination Cell, engages with organizations that act as repositories of relevant data (e.g., IIIM, IIMP, SJAC, CIJA etc.), as well as other stakeholders contributing to the clarification of the fate and whereabouts of missing persons.</li> </ul> <p><strong><u>ACCOUNTABILITIES AND RESPONSIBILITIES</u></strong></p> <ul> <li>Works closely with protection staff and coordination to complement documentation efforts in the field, provide supplementary analysis of priority events, and monitor trends to inform follow-up action.</li> <li>Undertakes identification, verification (including geolocation, chronolocation and source assessment), and advanced analysis of digital material, and produces clear analytical outputs in support of the Search Team, including but not limited to incident reports, analytical notes, relational charts, timelines. Triangulates OSI findings with internal case data, witness accounts, forensic information, and privileged external data obtained through data sharing agreements, to generate and validate leads for the search for missing persons.</li> <li>Proactively identifies and, on request, responds to leads relating to the fate and whereabouts of missing persons, and advises the Search Team on potential sources of information, including electronic media, social media, potential witnesses (victims, insiders, experts, or others), telecommunications data, and archives</li> <li>Implements and advances established open-source research methodologies to ensure professional standards and adherence to ICRC NIIHA approach throughout the analytical process.</li> <li>Regularly monitors, reviews, and analyses open-source information related to the missing (historical and new caseload) and to protection, and integrates internal case data to provide an updated analytical picture relevant to the Search Team and the situation in Syria. Monitors and assesses trends related to the conduct of hostilities and related to protection concerns through secondary data, including open-source data, to provide timely and reliable information to guide decision-making.</li> <li>Maintains a structured record of verified findings, coordinates, source materials, and analytical decisions to ensure the traceability, defensibility, and reproducibility of analytical outputs.</li> <li>Participates in institutional initiatives, such as the Data Science and AI Foundations project, by contributing insights from field-based case analysis. This position may be required to test tools (either identified or developed within the project framework) and evaluate their functionality for the Search.</li> <li>May be required to conduct regular field trips to Syria.</li> </ul> <p><strong><u>ADDITIONAL DUTIES</u></strong></p> <ul> <li>Follows up on all work-related messages and correspondence with the relevant contacts and departments.</li> <li>Is aware of the delegation’s objectives and has a good knowledge of the Movement and other contacts relevant to the position.</li> <li>Collects and shares information so as to improve the ICRC’s understanding of the environment and humanitarian trends and responses.</li> <li>Represents the ICRC in an appropriate way during activities, in meetings and in the field, and avoids any activity that may reflect negatively on the ICRC’s image.</li> <li>Takes responsibility for their own professional learning and development.</li> </ul> <p><strong><u>PROFESSIONAL EXPERIENCE AND EDUCATION REQUIRED</u></strong></p> <ul> <li>A University degree in relevant field with demonstrated credentials, training and/or practice in the field of open-source information &amp; analysis.</li> <li>A demonstrated interest in humanitarian work, and other relevant branches of public international law, including human rights law and international criminal law.</li> <li>A minimum of 3 years of experience working in a similar role is required.</li> </ul> <p><strong><u>Desired Profile and Skills</u></strong></p> <ul> <li>Demonstrable experience in and knowledge of the techniques, tools and methodologies for carrying out rigorous, safe, and ethical open-source research and analysis.</li> <li>Professional experience in the identification, verification, analysis and preservation of digital open-source information, including expertise in social media research techniques.</li> <li>Familiarity with the open-source information landscape specific to the Syrian context, including relevant social media channels, archive repositories and the ability to identify relevant sources.</li> <li>Proficiency in geospatial analysis, including geolocation, mapping, visualisation, and satellite imagery analysis, with the ability to apply these techniques to the identification and verification of sites of interest, including potential gravesites and former places of detention.Proficiency with verification and analytical toolsets relevant to OSI work, including reverse image search platforms, geospatial analysis platforms (such as ArcGIS, QGIS, or equivalent), satellite imagery platforms (such as Sentinel Hub, Planet, or equivalent), and relational or link analysis tools.</li> <li>Demonstrated ability to evaluate, triangulate and triangulate information across OSI, witness testimony, internal case information, and external data, and to generate leads from that triangulation.</li> <li>Initiative and capacity to work independently under minimal supervision.</li> <li>Ability to multi-task effectively and work in high-pressure environments, including excellent planning and organizing skills.</li> <li>Excellent oral and written communication skills in English are required, including capacity to produce clear and concise reports summarizing research methods and findings; Given the nature of the caseload, strong working proficiency in Arabic is required.</li> </ul> <p>Interested in joining? Apply Now! The ICRC values diversity and is committed to creating an inclusive working environment, we welcome applications from all qualified candidates, also, equally qualified candidates with disability are encouraged to apply.</p> <p>Please note that:</p> <ul> <li>Submission deadline for applicants: 24^th July 2026, taking into consideration, that Akhtaboot applicants, due to system capacity, need to apply before July 24^th midnight.</li> <li>The position will be filled once we find the right candidate.</li> <li>The position is open for Jordanian nationals, and eligible dependents governed by Jordanian law.</li> <li>Only applications with a cover letter and resume in English will be considered.</li> <li>The salary range is between 1,737 – 2,086 Jordanian Dinar.</li> </ul> <p><strong>ICRC does not charge a fee or any favors at any stage of the recruitment process. </strong>if the candidate is asked for any fee or any service against our Code of Conduct, he/she must report to <a href="mailto:code_of_conduct@icrc.org">code_of_conduct@icrc.org</a> or <a href="http://icrc.integrityplatform.org/">http://icrc.integrityplatform.org/</a></p> <p><strong>Kindly be informed that ICRC manages recruitment through a third party and doesn’t keep files of applicants.</strong> However, after receiving/downloading applications, note that the ICRC will keep your application file for a year, after which it will be deleted. If you’d like us to delete your file before this, kindly let us know.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>• Cleaned analytical dataset • Fully documented analytical code • Statistical tables • Charts, graphs, and other visualizations • Technical documentation describing the analytical methodology<br> Work Location<br>Remote<br> Expected duration<br>one month<br> Duties and Responsibilities<br>• Review the Dbayeh Camp Population Enumeration and Housing Assessment datasets and supporting documentation. • Compile, clean, validate and analyse the quantitative data using appropriate statistical methods. • Develop reproducible analytical workflows and well-documented analytical code to support future updates of the analysis. • Produce statistical tables, charts, graphs and other data visualizations to communicate key findings. • Analyse demographic characteristics, household composition, housing conditions, socioeconomic indicators, vulnerabilities and other relevant variables. • Identify key trends and relationships within the data and interpret their programmatic implications. • Prepare technical documentation describing the analytical methodology, assumptions, variables and analytical processes. • Prepare a comprehensive analytical report presenting the methodology, findings, conclusions and recommendations. • Revise analytical outputs and the final report in response to comments received during the review process. • Present the findings to RSSD management and technical staff, as required. Payments shall be made upon satisfactory completion and acceptance of the relevant deliverables by the Deputy Director, RSSD. The remuneration and payment schedule are fixed.<br> Qualifications/special skills<br>The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions, and recommendations. • A minimum of two years of progressively responsible experience in quantitative analysis, statistical modelling, survey analysis, data science, or a related field is required. • Experience analysing household surveys, census, or population datasets is required • Experience producing statistical reports and analytical publications is required • Experience working with humanitarian, development, or social protection data is desirable. • Experience within the United Nations system or another international organization is desirable. • Proficiency in R and/or Stata for statistical analysis and data processing is required • Proficiency in SQL for data extraction and management is desirable. • Experience producing high-quality statistical tables, charts, and data visualizations is required • Experience developing reproducible analytical workflows is required • Strong analytical, quantitative, and technical writing skills are required • 7 years of experience including a minimum of two (2) continuous years of relevant international experience outside UNRWA and outside the country(ies) of their nationality or citizenship Education Advanced university degree (Master's degree or equivalent) in Statistics, Demography, Economics, Data Science, Applied Mathematics, Quantitative Social Sciences, Public Health, Computer Science, or another related quantitative discipline.<br> Languages<br>Result of Service The Quantitative Analyst Consultant will analyse the data collected through the Dbayeh Camp Population Enumeration and Housing Assessment to produce a comprehensive analytical report that supports evidence-based programme planning and policy development. The consultant will conduct statistical analyses of demographic, socioeconomic, housing, and vulnerability data, identify key findings and trends, prepare tables, figures, and data visualizations, and produce a high-quality analytical report documenting the methodology, findings, conclusions and recommendations. Work Location Remote Expected Duration All deliverables are expected to be completed within one month.<br> Additional Information<br>The total remuneration for this assignment is USD 9,000<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Credit Analyst Senior Specialist plays a critical role in evaluating, monitoring, and enhancing the credit worthiness assessment of individual and corporate clients.<br> This role involves advanced financial and risk analysis, development of credit risk models, and close collaboration with the credit committee and other departments.<br> The analyst supports strategic lending decisions by providing insights based on data-driven assessments, ensuring compliance with internal policies and regulatory frameworks, and contributing to the sustainability of the credit portfolio.<br> Key Responsibilities Analyze credit bureau data, bank statements, income, behavioral patterns, and alternative data to assess credit risk.<br> Perform due diligence, verify financial information, and identify any red flags or discrepancies.<br> Utilize credit scoring models and risk assessment tools to determine credit scores and guide decisions.<br> Recommend credit limits, loan amounts, and terms for credit cards and digital lending products.<br> Underwrite credit requests within assigned authority or escalate with clear documentation.<br> Develop and refine credit risk assessment criteria and product-specific approval policies (e.<br>g., BNPL, salary advances).<br> Contribute to the enhancement of automated scoring and underwriting models.<br> Conduct research on credit policy trends and recommend updates to improve risk management.<br> Monitor policy exceptions and ensure credit practices align with internal risk appetite.<br> Track key portfolio performance indicators: approval rates, delinquencies, default rates, NPL, and recoveries.<br> Prepare credit assessment reports and performance dashboards for senior management.<br> Support the collections team with the development and execution of recovery strategies.<br> Monitor payment performance, prepare daily collection plans, and arrange follow-ups accordingly.<br> Analyze recovery trends and provide actionable insights to maintain portfolio health.<br> Ensure credit policies and processes comply with local regulations, internal standards, and industry’s best practices.<br> Prepare documentation for audits and internal/external regulatory reporting.<br> Stay updated on evolving regulatory requirements affecting credit risk.<br> Train junior credit analysts and internal stakeholders on credit processes and risk awareness.<br> Recommend improvements to credit lifecycle processes: onboarding, assessment, limit management, and collections.<br> Identify process inefficiencies and propose data-driven solutions.<br> Stay informed on fintech innovations, market conditions, and emerging credit risk trends.<br> Communicate credit decisions and risk assessments to underwriters, loan officers, and senior management.<br> Assist clients or applicants during the credit application process, addressing inquiries and offer guidance on improving creditworthiness.<br> Maintain clear and timely communication with all stakeholders involved in credit approvals and innovative work environment.<br> Bachelor’s degree in business, Economics, Finance, or a related field.<br> 5 years of total experience, including at least 3 years in credit analysis, underwriting, or collections, preferably within fintech or consumer lending sectors.<br> Prefered skills Strong analytical and financial analysis skills.<br> Familiarity with credit scoring models and underwriting systems.<br> Excellent written and verbal communication.<br> Proficiency in Excel, credit platforms, and reporting tools.<br> Strong interpersonal and decision-making skills.<br> Experience with data-driven credit risk tools and performance tracking Knowledge of regulatory compliance in digital lending or financial services.<br> Familiarity with AI-powered tools and data analysis platforms such as Excel, Power BI, and interactive dashboards for reporting and decision-making.<br></span> </div>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.</p><p>Key Responsibilities:</p><ul><li>Analyze and mining business data to identify patterns and correlations among the various data points.</li><li>Map and trace data within the enterprise data framework in order to solve a given business or system problem.</li><li>Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.</li><li>Perform statistical analysis of the enterprise data.</li><li>Extract existing data to manipulate/calculate/format into useful presentations.</li><li>Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .</li><li>Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.</li><li>Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision.</li><li>Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.</li><li>Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and Data Trends which may fit with enterprise needs.</li><li>Must be able to research and accurately articulate benefits and goals of these technologies.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelors Degree in in Computer Science, Management Information Systems, or a related field. Minimum of 4 years expiriance Overall Experience in information systems; background experience in ETL Processes, Application Development, Report Development, and Data Warehouse Projects.</p><p>Skills:</p><ul><li>Proficient in English written and verbal communication skills</li><li>Demonstrates excellent judgment and decision making skills</li><li>Demonstrated time management and priority setting skills</li><li>Excellent organizational skills</li><li>Possesses strong product knowledge</li><li>Possesses strong technical aptitude</li></ul><p></p></section>

<p><h4>Description</h4> <p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p> <h4>Responsibilities:</h4> <ul> <li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li> <li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li> <li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li> <li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li> <li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li> <li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li> <li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li> <li>Incorporate core data management competencies, including data governance, data security and data quality</li> <li>Develop, implement, and maintain change control and testing processes for modifications to data models</li> <li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li> <li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li> <li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li> <li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li> <li>Hands-on relational, dimensional, and analytical project experience</li> <li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li> </ul> <h4>Skills:</h4> <p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p> <p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p> <p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p> <p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data &amp; Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>

<p><h4>Description</h4> <p>The credit analyst senior specialist plays a critical role in evaluating, monitoring, and enhancing the credit worthiness assessment of individual and corporate clients. This role involves advanced financial and risk analysis, development of credit risk models, and close collaboration with the credit committee and other departments.</p> <p>The analyst supports strategic lending decisions by providing insights based on data-driven assessments, ensuring compliance with internal policies and regulatory frameworks, and contributing to the sustainability of the credit portfolio.</p> <h4>Key responsibilities</h4> <ul> <li>Analyze credit bureau data, bank statements, income, behavioral patterns, and alternative data to assess credit risk.</li> <li>Perform due diligence, verify financial information, and identify any red flags or discrepancies.</li> <li>Utilize credit scoring models and risk assessment tools to determine credit scores and guide decisions.</li> <li>Recommend credit limits, loan amounts, and terms for credit cards and digital lending products.</li> <li>Underwrite credit requests within assigned authority or escalate with clear documentation.</li> <li>Develop and refine credit risk assessment criteria and product-specific approval policies (e.g., BNPL, salary advances).</li> <li>Contribute to the enhancement of automated scoring and underwriting models.</li> <li>Conduct research on credit policy trends and recommend updates to improve risk management.</li> <li>Monitor policy exceptions and ensure credit practices align with internal risk appetite.</li> <li>Track key portfolio performance indicators: approval rates, delinquencies, default rates, NPL, and recoveries.</li> <li>Prepare credit assessment reports and performance dashboards for senior management.</li> <li>Support the collections team with the development and execution of recovery strategies.</li> <li>Monitor payment performance, prepare daily collection plans, and arrange follow-ups accordingly.</li> <li>Analyze recovery trends and provide actionable insights to maintain portfolio health.</li> <li>Ensure credit policies and processes comply with local regulations, internal standards, and industry’s best practices.</li> <li>Prepare documentation for audits and internal/external regulatory reporting.</li> <li>Stay updated on evolving regulatory requirements affecting credit risk.</li> <li>Train junior credit analysts and internal stakeholders on credit processes and risk awareness.</li> <li>Recommend improvements to credit lifecycle processes: onboarding, assessment, limit management, and collections.</li> <li>Identify process inefficiencies and propose data-driven solutions.</li> <li>Stay informed on fintech innovations, market conditions, and emerging credit risk trends.</li> <li>Communicate credit decisions and risk assessments to underwriters, loan officers, and senior management.</li> <li>Assist clients or applicants during the credit application process, addressing inquiries and offer guidance on improving creditworthiness.</li> <li>Maintain clear and timely communication with all stakeholders involved in credit approvals and innovative work environment.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in business, economics, finance, or a related field.</li> <li>5 years of total experience, including at least 3 years in credit analysis, underwriting, or collections, preferably within fintech or consumer lending sectors.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Strong analytical and financial analysis skills.</li> <li>Familiarity with credit scoring models and underwriting systems.</li> <li>Excellent written and verbal communication.</li> <li>Proficiency in Excel, credit platforms, and reporting tools.</li> <li>Strong interpersonal and decision-making skills.</li> <li>Experience with data-driven credit risk tools and performance tracking.</li> <li>Knowledge of regulatory compliance in digital lending or financial services.</li> <li>Familiarity with AI-powered tools and data analysis platforms such as Excel, Power BI, and interactive dashboards for reporting and decision-making.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The credit analyst senior specialist plays a critical role in evaluating, monitoring, and enhancing the credit worthiness assessment of individual and corporate clients. This role involves advanced financial and risk analysis, development of credit risk models, and close collaboration with the credit committee and other departments.</p> <p>The analyst supports strategic lending decisions by providing insights based on data-driven assessments, ensuring compliance with internal policies and regulatory frameworks, and contributing to the sustainability of the credit portfolio.</p> <h4>Key responsibilities</h4> <ul> <li>Analyze credit bureau data, bank statements, income, behavioral patterns, and alternative data to assess credit risk.</li> <li>Perform due diligence, verify financial information, and identify any red flags or discrepancies.</li> <li>Utilize credit scoring models and risk assessment tools to determine credit scores and guide decisions.</li> <li>Recommend credit limits, loan amounts, and terms for credit cards and digital lending products.</li> <li>Underwrite credit requests within assigned authority or escalate with clear documentation.</li> <li>Develop and refine credit risk assessment criteria and product-specific approval policies (e.g., BNPL, salary advances).</li> <li>Contribute to the enhancement of automated scoring and underwriting models.</li> <li>Conduct research on credit policy trends and recommend updates to improve risk management.</li> <li>Monitor policy exceptions and ensure credit practices align with internal risk appetite.</li> <li>Track key portfolio performance indicators: approval rates, delinquencies, default rates, NPL, and recoveries.</li> <li>Prepare credit assessment reports and performance dashboards for senior management.</li> <li>Support the collections team with the development and execution of recovery strategies.</li> <li>Monitor payment performance, prepare daily collection plans, and arrange follow-ups accordingly.</li> <li>Analyze recovery trends and provide actionable insights to maintain portfolio health.</li> <li>Ensure credit policies and processes comply with local regulations, internal standards, and industry’s best practices.</li> <li>Prepare documentation for audits and internal/external regulatory reporting.</li> <li>Stay updated on evolving regulatory requirements affecting credit risk.</li> <li>Train junior credit analysts and internal stakeholders on credit processes and risk awareness.</li> <li>Recommend improvements to credit lifecycle processes: onboarding, assessment, limit management, and collections.</li> <li>Identify process inefficiencies and propose data-driven solutions.</li> <li>Stay informed on fintech innovations, market conditions, and emerging credit risk trends.</li> <li>Communicate credit decisions and risk assessments to underwriters, loan officers, and senior management.</li> <li>Assist clients or applicants during the credit application process, addressing inquiries and offer guidance on improving creditworthiness.</li> <li>Maintain clear and timely communication with all stakeholders involved in credit approvals and innovative work environment.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in business, economics, finance, or a related field.</li> <li>5 years of total experience, including at least 3 years in credit analysis, underwriting, or collections, preferably within fintech or consumer lending sectors.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Strong analytical and financial analysis skills.</li> <li>Familiarity with credit scoring models and underwriting systems.</li> <li>Excellent written and verbal communication.</li> <li>Proficiency in Excel, credit platforms, and reporting tools.</li> <li>Strong interpersonal and decision-making skills.</li> <li>Experience with data-driven credit risk tools and performance tracking.</li> <li>Knowledge of regulatory compliance in digital lending or financial services.</li> <li>Familiarity with AI-powered tools and data analysis platforms such as Excel, Power BI, and interactive dashboards for reporting and decision-making.</li> </ul></p><p></p>