Analyst Data III FBG

About the Role

Key Responsibilities

• 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.

Requirements

• 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, including experience with 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, with an emphasis on knowing appropriate analytical techniques.
• Data visualization and storytelling experience using tools such as Tableau, Looker, Power BI.
• Experience in 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 modern analytics workflows.
• 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.
• Experience balancing and delivering against multiple priorities in high-pressure environments.
• Excellent communication skills, with a track record of influencing decisions through insight and data storytelling.
• 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.
• Experience working with semi-structured data, e.g., in JSON format.

Nice to Have

• Experience or interest in the sports/betting industry.

Benefits & Perks

• Salary range: $100,000-$198,000 per year, with actual salary determined by geographic location.
• Full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, and more.
• $700 home office setup stipend.