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Mid-level generalist data analyst title, popular skillset and metro Abu Dhabi location raise applicant competition.
Strong banking-domain expertise and CXO-insight focus limit transferability across industries.
Explicit 4–7 years requirement plus mandatory SQL/Python and banking domain experience enforces strict filters.
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Analyze large-scale banking datasets (customers, products, transactions, channels, operations) to identify business trends, risks, and growth opportunities.
Translate complex data into actionable insights and recommendations for senior leadership, crafting CXO-level presentations and visualizations.
Develop reusable analytical frameworks and respond rapidly to ad-hoc leadership queries with fact-based analyses.
4–7+ years of experience in data/business analytics, ideally in banking/financial services datasets.
Proficient in SQL and Python for handling large and complex datasets.
Experience analyzing banking data including customer, transactions, deposits, lending, cards, risk, or operations.
Location Requirement: Candidate must be based in UAE, specifically Abu Dhabi (On-site).
Strong analytical capability to independently uncover patterns and structure ambiguous business questions using SQL/Python.
Deep understanding of banking domain to interpret data in terms of business impact and leadership priorities.
Skilled storyteller able to convert detailed analysis into clear, compelling narratives and actionable insights for senior, non-technical stakeholders.