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AI-Powered Job Summary
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We're looking for someone with:
- 2+ years of experience working as a Data Analyst, ideally with exposure to trading, sports betting, or commercial analytics;
- Expert-level Tableau skills with strong ability to create intuitive, actionable dashboards and visualisations;
- Understanding of underlying database structures, table relationships, and data models;
- Strong SQL skills for writing optimised queries across complex datasets;
- Analytical mindset with ability to translate trading challenges into data solutions;
- Ability to work effectively with cross-functional teams including traders, product managers, and commercial stakeholders;
- Strong organisational skills and ability to influence trading strategy and business decisions;
- Outstanding verbal and written communication skills;
- Excellent English language skills.
- Trading knowledge: Understanding of odds compilation, pricing mechanisms, margin management, and risk concepts;
- Familiarity with key trading metrics: eGGR (expected Gross Gaming Revenue), Closing Line Value, hold percentages, liability management;
- Strong mathematical foundation and ability to quickly grasp complex trading concepts;
- Experience with Python for advanced analytics;
- Background in sports betting environments;
- Experience with Snowflake or similar cloud data warehouses;
- Knowledge of statistical modelling and A/B testing methodologies.
- Build World-Class Trading Dashboards: Design and develop sophisticated Tableau visualisations that enable traders to monitor performance, identify opportunities, and react quickly to market movements;
- Analyse Trading Performance: Deep dive into odds accuracy, margin efficiency, customer trading patterns, and liability exposure to identify optimisation opportunities;
- Support Trading Strategy: Collaborate with Trading Managers to analyse closing line value, assess pricing effectiveness, and evaluate the impact of trading decisions on profitability;
- Data Infrastructure & Quality: Ensure data accuracy and reliability by understanding underlying database structures, maintaining data pipelines, and working with engineering teams to improve data availability;
- Monitor Key Metrics: Track and report on critical trading KPIs, including eGGR, hold percentages, market share by sport/event, and risk exposure across customer segments;
- Enable Faster Decision-Making: Create self-service reporting tools that empower traders and commercial teams to access insights independently.
- Cross-Functional Partnership: Work closely with Product, Commercial, Risk, and Engineering teams to align analytics efforts with broader business objectives;
- Drive Continuous Improvement: Proactively identify opportunities to enhance trading operations through data-driven insights and process optimisation.
Key Skills
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