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Data Analyst & Visualization Specialist

BlackStone eITDubai, UAE3 weeks agoSeniorfulltime
Data Analyst & Visualization Specialist
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Via NaukriGulf·

About This Role

Responsibilities

  • Collect, analyze, and interpret large datasets to identify trends and patterns.
  • Develop clear and insightful visualizations and dashboards using tools such as Tableau, Power BI, or similar.
  • Collaborate with stakeholders to gather requirements and deliver relevant data solutions.
  • Perform data cleansing and ensure data quality.
  • Generate regular and ad-hoc reports to support business initiatives.
  • Communicate findings and insights effectively to both technical and non-technical audiences.
  • Stay current with data analysis and visualization best practices and tools.
  • - Executive reporting: recurring KPI reports, programme status summaries, budget variance analysis, milestone tracking
  • - Data analysis: identifying trends, anomalies, and insights across operational data (finance, HR, procurement, research portfolio)
  • - Visualization design: defining the right chart, metric, or narrative for each audience working with the Full Stack Engineer to implement dashboard views
  • - Figma mockups for new reporting surfaces wireframes and visual specs before engineering build
  • - Ad hoc analysis: answering leadership questions that require digging into data ("why did procurement spend spike in Q3?")
  • - KPI definition support: working with business owners to define meaningful, measurable KPIs
  • - Reporting cadence: automated or semi-automated generation of recurring status reports and summaries

Required Skills & Technologies

  • - SQL advanced analytical queries, window functions, aggregations, cross-source joins
  • - Data visualization strong opinions on when to use charts vs. tables vs. narrative; experience with Recharts, D3, Tableau, Power BI, or Looker
  • - Figma wireframing and prototyping reporting surfaces
  • - React + TypeScript ability to build or modify dashboard components (working alongside the Full Stack Engineer, not replacing them)
  • - Python data analysis, pandas, scripting for ad hoc analysis
  • - Understanding of dimensional models and how to query a warehouse
  • - Excel / Google Sheets quick-turn analysis and ad hoc reporting
  • - Business intelligence concepts: KPIs, OKRs, trend analysis, variance reporting, cohort

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