Senior Analyst, Strategy

This is a fully remote position, open to applicants in New York.

📋 Description

• Evaluate promotions, bonuses, fee rebates, referral programs, and other customer incentives, including ROI, incrementality, acquisition, and retention.

• Collaborate with Marketing and Product teams to establish success metrics and measurement plans prior to campaign launches, and conduct post-campaign analysis.

• Analyze revenue drivers such as trading volume, contracts traded, fee yield, market categories, and customer segments.

• Clarify fluctuations in revenue and key KPIs, and assist Finance with forecasting, budgeting, and business cases.

• Conduct customer and cohort analyses across acquisition, activation, retention, lifetime value, and profitability.

• Examine user behavior, funnels, engagement, and drop-off points to pinpoint improvements in customer experience.

• Define success metrics for new features and evaluate performance after their launch.

• Design and assess A/B tests, providing recommendations based on the results.

• Research emerging markets, new product verticals, and adjacent business opportunities, including market sizing, competitor analysis, and regulatory considerations.

• Develop financial models and business cases for new products, partnerships, and opportunities.

• Monitor developments in prediction markets, exchanges, derivatives, and swaps, assessing opportunities for ROLR.

• Create and maintain Power BI reports, dashboards, and datasets.

• Write and optimize SQL queries against the Microsoft Fabric data platform, ensuring consistent metric definitions.

• Identify data quality issues and collaborate with relevant teams to resolve them.

• Transform recurring analytical requests into self-service reporting whenever feasible.

• Present findings and recommendations clearly to senior stakeholders.

⛳️ Requirements

• Minimum of 3 years’ experience in strategy, commercial analytics, revenue analytics, FP&A, or a comparable analytical position.

• Strong proficiency in SQL.

• Expertise in Python for analysis, automation, and modeling.

• Experience with ETL/ELT processes and large transactional datasets.

• Proven track record in measuring promotional or marketing performance, including ROI and incrementality.

• Familiarity with statistical concepts such as A/B testing, significance, and cohort analysis.

• Experience in building financial models and business cases using Excel.

• Strong commercial acumen and ability to connect data to revenue, cost, and customer outcomes.

• Capability to interpret vaguely defined business questions, determine suitable analytical approaches, and translate results into clear recommendations.

• Comfortable managing multiple priorities and delivering precise analyses within tight deadlines.

• Degree in Finance, Economics, Statistics, Mathematics, Computer Science, or another quantitative field, or equivalent experience.

• Hands-on experience with Power BI, including report development, data modeling, and DAX preferred.

• Experience with Tableau or Looker is considered an asset.

• Familiarity with Microsoft Fabric, Azure Synapse, or Databricks and Medallion data architectures is preferred.

• Understanding of financial markets and instruments, including derivatives, swaps, futures, or options is preferred.

• Experience in prediction markets, financial exchanges, brokerage, sports betting, iGaming, fintech, or another high-volume consumer transaction business is preferred.

• Experience in a regulated environment where data accuracy and auditability are critical is preferred.

• Practical experience utilizing AI and LLM tools to support research, analysis, and automation is preferred.

• Microsoft PL-300 or another relevant certification is preferred.

🏝️ 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.