Senior Analyst, Strategy

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Posted Oct 27, 2026

Remote · US · ask about Worldwide Full Time
Est. $105K – $145K/yr

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