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Business Intelligence LEAD; BI Lead

Job in Dubai, Dubai, UAE/Dubai
Listing for: Astra Tech
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: BUSINESS INTELLIGENCE LEAD (BI Lead)

Role: BUSINESS INTELLIGENCE LEAD

Location: UAE (Dubai or Abu Dhabi)

Department: Data (Data Science, BI, Data Engineering, Data Governance)

About Astra Tech

Astra Tech is a UAE-based technology group building an integrated digital ecosystem across Fin Tech and communication platforms, including BOTIM. We operate at scale in a fast-growing, multicultural environment, combining financial services, payments, and communication technologies into a unified platform. Our culture is collaborative, meritocratic, and impact-driven, with strong ownership and healthy work-life balance.

Role Overview

We are looking for a Business Intelligence Lead to head the BI vertical within the Data organization. This is a hands‑on leadership role combining analytical depth, business understanding, and strong visualization expertise. You will lead the design, development, and governance of business intelligence solutions, partnering closely with Product, Finance, Risk, Commercial, and Engineering teams. We are looking for someone who can translate business questions into structured analysis, derive actionable insights, and deliver high-quality reporting frameworks that support strategic decision‑making.

From day one, you will manage a team of two BI professionals, with the opportunity to further grow the function over time.

Key Responsibiilities
  • Lead the Business Intelligence vertical within the Data team
  • Manage and mentor a team of two BI analysts
  • Design, build, and maintain scalable reporting and dashboarding frameworks
  • Drive adoption of Power BI as the core visualization platform
  • Develop high-impact dashboards and executive-level reporting
  • Translate ambiguous business questions into structured SQL-driven analysis
  • Perform deep-dive analyses to uncover trends, risks, and opportunities
  • Ensure data consistency and metric standardization across departments
  • Collaborate with Data Engineering and Data Governance to maintain data reliability
  • Contribute to hiring and future expansion of the BI team
Cultural Fit & Leadership Expectations
  • Open, collaborative, proactive in sharing knowledge
  • Thrives in cross‑functional environments and engages confidently with senior stakeholders
  • Strong business acumen and curiosity about how the company operates
  • Communicates insights clearly and concisely to both technical and non‑technical audiences
  • Works transparently — no silos, no gatekeeping
  • Takes ownership of outcomes, not just dashboards
  • Comfortable challenging assumptions using data
  • Balances speed with structure in a fast‑paced but organized environment
  • Demonstrates high standards for data accuracy, clarity, and integrity
Core Requirements
  • Approximately 8–10+ years of experience in Business Intelligence / Analytics
  • Advanced SQL proficiency (complex queries, aggregations, performance optimization)
  • Strong experience working directly with raw tables and data models
  • Proven track record building executive dashboards and scalable reporting frameworks
  • Deep expertise in Power BI (data modeling, DAX, visualization best practices, performance optimization)
  • Experience with Grafana or similar monitoring/visualization tools
  • Strong understanding of KPIs, metric design, and business performance tracking
  • Ability to independently perform backend data investigation and root‑cause analysis
  • Experience working closely with cross‑functional stakeholders
Nice To Have
  • Experience with in Fin Tech or digital platforms
  • Familiarity with Microsoft Fabric
  • Comfort working with notebooks in modern data environments
  • Exposure to Azure ecosystem
  • Prior experience hiring or scaling BI teams
Ideal Profile
  • Strong analytical background in Business, Economics, Engineering, Mathematics, or related fields
  • Highly structured thinker with strong problem‑framing ability
  • Comfortable operating independently with minimal supervision
  • Naturally curious about business performance drivers
  • Pragmatic and impact‑oriented, with strong attention to detail
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