Senior Executive – Data Analytics
Role Overview
The role focuses on designing, developing, and delivering enterprise BI dashboards, reports, and analytical solutions.
It translates business requirements into insights using Power BI and other analytics tools for functions including Finance, Procurement, and HCM.
The posting uses the title Senior Executive – Data Analytics and describes the role as a Business Intelligence & Insights Consultant.
Key Skills for This Role
Full Job Posting
About the client
The client is a growing Middle Eastern retail group with a portfolio of fashion and lifestyle brands across the GCC.
Role overview
The role focuses on designing, developing, and delivering enterprise BI dashboards, reports, and analytical solutions.
It translates business requirements into insights using Power BI and other analytics tools for functions including Finance, Procurement, and HCM.
The posting uses the title Senior Executive – Data Analytics and describes the role as a Business Intelligence & Insights Consultant.
Responsibilities
- Design and maintain interactive Power BI dashboards, reports, scorecards, and paginated reports.
- Gather business requirements and translate them into technical specifications and reporting solutions.
- Develop data models, DAX calculations, Power Query transformations, and SQL queries.
- Implement RLS, OLS, drill-through, and dynamic filtering.
- Analyze data for trends, patterns, anomalies, and actionable insights; build KPI and performance reports.
- Ensure data accuracy, consistency, report performance, and compliance with BI standards.
- Work with Data Engineering to validate pipelines and source-to-report accuracy.
- Support self-service BI through user training and documentation.
- Engage stakeholders, manage reporting requirements, conduct UAT, and improve BI solutions.
Technical requirements
- Bachelor's degree in IT, Computer Science, Business, Data Analytics, or a related discipline.
- Four to seven years of relevant BI development, Power BI reporting, data visualization, or analytics experience.
- Hands-on Power BI, DAX, Power Query (M), SQL, and data extraction experience.
- Data modeling knowledge, including Star and Snowflake schemas; experience with Power BI Service, deployment, RLS, and OLS.
- Knowledge of KPI reporting, data visualization, business analytics, and advanced Excel.
- Microsoft Fabric, Azure Synapse, Python, or Tableau are listed as additional tools.
- Finance, Procurement, or HCM data-domain knowledge is listed.
Certifications and competencies
- Power BI Data Analyst (PL-300) certification is required or must be obtained within 12 months.
- Microsoft Fabric Analytics Engineer (DP-600) certification is preferred.
- Strong analytical, problem-solving, stakeholder management, communication, and data-accuracy skills.
- Ability to translate business requirements into technical solutions; presentation and data storytelling skills.
- Ability to manage multiple reporting requirements and deadlines, with a continuous learning mindset.
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