Senior Executive Data Analytics

About WhiteCrow

We are global talent research, insight and pipelining specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house research.

About our client

Since its inception in 2000, our client has emerged as a prominent and fast-growing retail group serving markets across the Middle East. The organization partners with world-class fashion and lifestyle brands, delivering globally inspired products and experiences to discerning consumers throughout the GCC. Guided by a vision to become a leading regional gateway for international retailers, the company has successfully built a broad portfolio across diverse consumer categories. Its collaborative approach with global brand partners, combined with extensive market expertise and a customer-first mindset, has enabled sustained growth and ongoing expansion across the region. Today, our client remains well-positioned to capitalize on emerging opportunities within the dynamic Middle Eastern retail market.

About the role

• The Business Intelligence & Insights Consultant will be responsible for designing, developing, and delivering enterprise-level BI dashboards, reports, and analytical solutions.
• The role will focus on translating business requirements into actionable insights using Power BI and other data analytics tools, supporting business functions such as Finance, Procurement, and Human Capital Management (HCM).
• The ideal candidate should have strong technical expertise in Power BI, DAX, SQL, and data modelling, along with the ability to engage with business stakeholders and support data-driven decision-making.

As a Senior Executive – Data Analytics, you will be responsible for...

• Designing, developing, and maintaining interactive Power BI dashboards, reports, scorecards, and paginated reports.
• Gathering business requirements and translating them into technical specifications and reporting solutions.
• Developing data models, DAX calculations, Power Query transformations, and SQL queries.
• Implementing Row-Level Security (RLS), Object-Level Security (OLS), drill-through, and dynamic filtering.
• Analyzing business data to identify trends, patterns, anomalies, and actionable insights.
• Developing KPI dashboards and performance-tracking reports for business stakeholders.
• Ensuring data accuracy, consistency, report performance, and adherence to BI standards.
• Collaborating with Data Engineering teams to validate data pipelines and ensure source-to-report accuracy.
• Supporting self-service BI adoption by conducting user training sessions and developing documentation.
• Engaging with stakeholders, managing reporting requirements, conducting User Acceptance Testing (UAT), and continuously improving BI solutions.

What you already have...

Technical Skills:

• Demonstrating strong hands-on experience with Power BI, including dashboards, reports, DAX, and Power Query (M).
• Applying good knowledge of SQL and data extraction techniques.
• Designing and developing data models, including Star and Snowflake schemas.
• Working with Power BI Service, deployment processes, RLS, and OLS.
• Developing KPI reports and applying data visualization and business analytics techniques.
• Utilizing advanced Excel skills for data analysis and reporting.
• Exploring and working with Microsoft Fabric, Azure Synapse, Python, or Tableau.
• Applying knowledge of Finance, Procurement, or HCM data domains.
• Bachelor's degree in IT, Computer Science, Business, Data Analytics, or a related discipline.
• 4–7 years of relevant experience in BI development, Power BI reporting, data visualization, or analytics.
• Power BI Data Analyst (PL-300) certification required or to be obtained within 12 months.
• Microsoft Fabric Analytics Engineer (DP-600) certification is preferred.

Key Competencies:

• Strong analytical and problem-solving skills.
• Excellent stakeholder management and communication skills.
• Strong attention to detail and data accuracy.
• Ability to translate business requirements into technical solutions.
• Good presentation and data storytelling skills.
• Ability to manage multiple reporting requirements and deadlines.
• Continuous learning and improvement mindset