Data Analyst – Social Support Operations - UAE National
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Key skills for this role
Role Overview
The Data Analyst will support Social Support Operations through data analysis, reporting, data-quality management, and business intelligence.
The role transforms data from multiple sources into actionable insights for operational decision-making, performance monitoring, audit, and service improvement.
Key Skills for This Role
Full Job Posting
About the Role
The Data Analyst will support Social Support Operations through data analysis, reporting, data-quality management, and business intelligence.
The role transforms data from multiple sources into actionable insights for operational decision-making, performance monitoring, audit, and service improvement.
Core Responsibilities
- Clean, transform, validate, and analyze multi-source data using Python, SQL, Excel, and Power BI.
- Develop and maintain Power BI dashboards and reports with KPIs, trends, forecasts, and interactive visualizations.
- Design data models and implement DAX measures, Power Query, drill-throughs, tooltips, and row-level security.
- Write and optimize complex SQL queries using joins, subqueries, CTEs, window functions, aggregations, views, and stored procedures.
- Extract and analyze CRM data, preferably from Microsoft Dynamics 365.
- Investigate discrepancies across CRM systems, databases, integrations, reports, and source data.
- Identify and resolve missing data, duplicates, invalid values, inconsistent classifications, and broken dataset relationships.
- Conduct trend, variance, month-over-month, and forecasting analyses.
- Develop automated data-quality checks, exception reports, and validation mechanisms for operational and audit purposes.
- Translate business requirements and business rules into SQL, Python, DAX, and data-validation logic.
- Gather and document requirements, KPIs, calculation rules, assumptions, filters, and acceptance criteria.
- Prepare UAT cases, communicate findings, maintain documentation, collaborate with stakeholders, and ensure confidentiality, security, access control, auditability, and reproducibility.
Required Qualifications and Experience
- Bachelor's degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Analytics, or a related field.
- Strong hands-on Python experience, particularly with Pandas, NumPy, Matplotlib, and Seaborn.
- Advanced SQL skills with Microsoft SQL Server or similar relational databases.
- Strong Power BI experience, including DAX, Power Query, data modelling, and dashboard development.
- Advanced Microsoft Excel skills, including XLOOKUP, SUMIFS, COUNTIFS, IF/IFERROR, Pivot Tables, and Power Query.
- Experience analyzing and validating data from multiple sources.
- Strong understanding of data-quality principles and data reconciliation.
- Experience with CRM data.
- Strong analytical, problem-solving, and root-cause analysis skills.
- Ability to translate complex business processes into measurable requirements and analytical solutions.
- Strong communication and documentation skills.
Preferred Qualifications
- Microsoft Power BI or equivalent analytics certification is preferred.
- Microsoft Dynamics 365 CRM experience is preferred.
- Familiarity with Azure, Data Factory, Microsoft Fabric, APIs, or data integration technologies is preferred.
- Knowledge of Git or other version-control systems is preferred.
- Familiarity with Agile delivery and requirements-management practices is preferred.
Key Skills
- Python, SQL, Power BI, DAX, Power Query, Microsoft Excel, data modelling, data quality, data validation, CRM analytics, business intelligence, KPI reporting, forecasting, root-cause analysis, UAT, and data governance.
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