Overview
This role supports the organization’s expansion into regulated prediction markets and involves building consumer-facing analytics to drive commercial performance in the US market. The Senior Analyst, Strategy is a hands-on position combining promotional and revenue analysis, strategic research, and BI support. Work closely with Strategy, Marketing, Product, Design, Finance, and the broader Data & Analytics team to translate data into clear recommendations for leadership.
Responsibilities
- Analyze promotions, bonuses, fee rebates, referral programs, and other customer incentives, including ROI, incrementality, acquisition, and retention.
- Partner with Marketing and Product to define success metrics and measurement plans before campaigns launch, and deliver clear post-campaign analysis.
- Analyze revenue drivers such as trading volume, contracts traded, fee yield, market categories, and customer segments.
- Explain movements in revenue and key KPIs; support Finance with forecasting, budgeting, and business cases.
- Conduct customer and cohort analysis across acquisition, activation, retention, lifetime value, and profitability.
- Analyze user behavior, funnels, engagement, and drop-off points to identify opportunities to improve the customer experience.
- Define success metrics for new features and analyze performance following launch.
- Design and analyze A/B tests and provide recommendations based on results.
- Research emerging markets, new product verticals, and adjacent business opportunities, including market sizing, competitors, and regulatory considerations.
- Build financial models and business cases for new products, partnerships, and opportunities.
- Track developments across prediction markets, exchanges, derivatives, and swaps to assess potential opportunities.
- Build and maintain Power BI reports, dashboards, and datasets to support decision-making.
- Write and optimize SQL against a Microsoft Fabric data platform and help maintain consistent metric definitions.
- Identify data quality issues and work with relevant teams to resolve them.
- Convert recurring analytical requests into self-service reporting where possible.
- Present findings and recommendations clearly to senior stakeholders.
Requirements
- At least 3 years’ experience in strategy, commercial analytics, revenue analytics, FP&A, or a similar analytical role.
- Strong SQL skills and proficiency in Python for analysis, automation, and modeling.
- Experience working with ETL/ELT processes and large transactional datasets.
- Experience measuring promotional or marketing performance, including ROI and incrementality.
- Comfort with statistical concepts including A/B testing, significance, and cohort analysis.
- Experience building financial models and business cases in Excel.
- Strong commercial judgment and ability to connect data to revenue, cost, and customer outcomes.
- Ability to take loosely defined questions, determine the right analytical approach, and deliver actionable recommendations.
- Comfortable managing multiple priorities and delivering accurate analysis within tight timelines.
- A degree in Finance, Economics, Statistics, Mathematics, Computer Science, or another quantitative field, or equivalent experience.
Preferred Qualifications
- Hands-on experience with Power BI (report development, data modeling, and DAX). Tableau or Looker experience also considered.
- Experience with Microsoft Fabric, Azure Synapse, or Databricks and Medallion data architectures.
- Knowledge of financial markets and instruments, including derivatives, swaps, futures, or options.
- Experience in prediction markets, financial exchanges, brokerage, sports betting, iGaming, fintech, or another high-volume consumer transaction business.
- Experience working in a regulated environment where data accuracy and auditability are important.
- Practical experience using AI and LLM tools to support research, analysis, and automation.
- Microsoft PL-300 (or another relevant certification).
Compensation & Benefits
- Competitive health and welfare benefits
- 401(k) retirement plan with company match
- Flexible vacation policy
- Home office setup reimbursement
- Team events and get-togethers
- Access to Wellbeing mental health support