Analyst Data III, Trading
- Leeds
- Permanent
- Full-time
- Lead complex analytical projects that support pricing, margin optimization, and risk management decisions.
- Build, manage, and maintain reports and dashboards that promote self-service, consistency, and accuracy.
- Develop and maintain robust data models that enable scalable, detailed, and reusable analysis.
- Cultivate strong cross-functional relationships with Product, Finance, Commercial, and Data teams.
- Identify performance issues and opportunities, and drive improvements independently and in collaboration with relevant stakeholders.
- Translate analytical findings into clear, compelling narratives for both technical and non-technical audiences.
- Mentor junior analysts and support broader Trading team efforts to enhance data literacy.
- Contribute to continuous improvement of internal processes, tooling, and team workflows.
- Help shape and communicate the narrative around Trading performance.
- 3-5 years of experience in a trading, analytics, or quantitative role, ideally within the betting and gaming industry or a comparably fast paced, data rich environment.
- Advanced SQL skills are essential as this will be the key language used within this role.
- This includes the experience of:
- CTEs & Sub Queries
- Window Functions
- Data Transformation Functions
- Aggregations & Groupings
- Data Quality & Integrity
- Optimization & Debugging
- Joins and Set Logic
- Experience with Python, R, or similar tools is a plus. What is more important is knowing what analytical techniques are the most appropriate to use based on the problem statement
- Data visualization and storytelling experience using tools such as Tableau, Looker, Power BI. They should have experience in not only creating useful visualisations but dashboards that provide users with an experience which is engaging, detailed, consistent, accurate and efficient.
- Hands on experience building and maintaining data models in tools like DBT, Databricks, or other modern data stack components.
- Comfortable with version control systems (Git), collaborative development environments, and working within modern analytics workflows (e.g., notebooks, repositories and branches.
- Deep understanding of trading fundamentals, including pricing, margin, and risk models.
- Proven ability to independently solve complex problems, applying sound analytical approaches aligned with business goals.
- Collaborative and proactive team player with a growth mindset and high standards for clear and diligent analysis.
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science.
- Working with semi-structured data ie in JSON format.
- Experience or interest in the sports/betting industry are a bonus but not required.