Business Intelligence Analyst

2 weeks ago

Dubai, Dubai, United Arab Emirates 256ac9bc-13de-457b-9b47-f5bc4205a4be Full time 120,000 - 160,000 per year

A long-established, globally regulated fintech and trading group is entering one of its most transformative growth phases. With over a decade of strong fundamentals and global operations spanning the UAE, UK, Europe, Asia, and Australia, the company is now modernising its trading ecosystem, introducing AI-driven analytics, next-generation platforms, and a sharper focus on customer experience.

As part of this evolution, we are expanding our Analytics function and hiring Business Intelligence Analysts, each partnering with senior stakeholders across different business areas. These roles are central to shaping smarter decision-making, elevating performance, and uncovering high-impact growth opportunities.

Key Responsibilities

  • Analyse which marketing activities drive real business value, the audiences they attract, and how performance can be further improved.
  • Evaluate the acquisition funnel to identify drop-off points and recommend optimisations that maximise conversion rates.
  • Measure the impact of retention strategies across channels and define data-driven initiatives that increase customer lifetime value.
  • Identify growth opportunities by analysing introducing brokers (IB) performance, regional trends, and client segment behaviour.
  • Maintain visibility on key financial metrics such as deposits, commissions, and profitability.
  • Partner with stakeholders to deliver personalised customer experiences across all relevant touchpoints.
  • Communicate clear, actionable insights and recommendations to senior leadership based on rigorous analysis.

Requirements

  • Strong SQL skills and experience working with large, complex datasets (customer journeys, marketing performance, product behaviour, etc.).
  • Understanding of financial products such as CFDs or cryptocurrencies.
  • Familiarity with customer segmentation methods (clustering, engagement scoring, RFM, etc.).
  • Advanced digital marketing analytics knowledge: MMM, econometrics, attribution modelling, probabilistic methods, ROI/ROAS, incrementality, adstock.
  • Deep understanding of Customer Lifetime Value (CLV) and how marketing/product levers influence it.
  • Experience designing and interpreting A/B tests and other experimentation frameworks.

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