JOB   SUMMARY

Key Responsibilities

• Partner with business teams (Sales, Trading, Marketing, Product, Risk) to translate requirements into clean data solutions and decision-ready metrics
• Design, build and maintain Power BI dashboards with rigorous data modelling, performance tuning and version-controlled semantic definitions
• Write complex SQL (joins, window functions, CTEs, performance-aware queries) against large production datasets for extraction, transformation and analysis
• Own business metrics, KPIs and reporting frameworks — from North Star definition to field-level metric dictionaries with clear ownership and versioning
• Conduct deep-dive analysis on customer behaviour, trading activity, funnel conversion and revenue drivers; turn findings into specific, testable recommendations
• Provide actionable insights that directly improve trading volume, client lifetime value, conversion and retention
• Leverage modern AI tools and “vibe coding” workflows to accelerate analysis, prototype dashboards and automate repetitive BI work
• Communicate findings clearly to senior stakeholders and drive execution — you are expected to close the loop, not just present slides

Requirements

• 5-8 years in data analysis / BI / analytics roles, with at least 2 years in a Senior IC capacity
• Strong SQL — multi-table joins, window functions, CTEs, aggregations, and comfortable with performance tuning on large fact tables.
• Hands-on Power BI at a production level — dashboard design, data modelling (star schema), DAX, RLS, and semantic model governance.
• Strong business acumen — you connect numbers to real-world outcomes, not just chart them.
• Comfortable using AI tools (Claude, Copilot, ChatGPT) and modern data workflows to multiply your own output
• Excellent written and verbal communication; confident stakeholder management from analyst to C-level.
• Strong execution and an ownership mindset — you close loops, push decisions through to action, and measure impact

Nice to Have

• Direct exposure to CFD / MT4 / MT5 data models (trades, positions, P&L, spreads, slippage)
• CFA / CFA Level-candidate or a finance-related degree
• Experience with dbt, Snowflake, Databricks or similar modern data stacks
• Prior work on semantic layer / metric dictionary projects
• Exposure to AML / compliance reporting, risk management reporting, or broker P&L attribution

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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