Senior Analyst, Strategy

High Roller

. Analyse promotions, bonuses, fee rebates, referral programmes and other customer incentives, including ROI, incrementality, acquisition and retention .

Posted 10/26/2026full-timeRemote • New York • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in revenue analytics, financial modeling, and performance measurement, with strong proficiency in SQL and Python for data analysis and automation. Capable of delivering actionable insights through effective communication and stakeholder engagement.

Highest-signal resume keywords

Strong SQL SkillsProficiency In PythonExperience With Power BIFinancial Modeling In ExcelKnowledge Of Financial Markets

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Revenue AnalyticsA/B TestingCohort AnalysisETL/ELT ProcessesData Quality ManagementStatistical AnalysisCustomer SegmentationForecastingBudgetingMarket Research

Soft Skills

Strong Commercial JudgementAbility To Manage Multiple PrioritiesClear Communication

Tools & Technologies

Power BIMicrosoft FabricAzure SynapseDatabricksTableauLooker

Certifications & Qualifications

Microsoft PL-300

Industry Keywords

Financial MarketsDerivativesSwapsFuturesOptionsPrediction MarketsFintechIGamingSports BettingHigh-Volume Consumer Transactions

Tech Stack

Tools & technologies

AzureETLPythonSQLTableau

About the role

Key responsibilities & impact

Analyse promotions, bonuses, fee rebates, referral programmes 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 provide post-campaign analysis
Analyse revenue drivers including trading volume, contracts traded, fee yield, market categories and customer segments
Explain movements in revenue and key KPIs and support Finance with forecasting, budgeting and business cases
Conduct customer and cohort analysis across acquisition, activation, retention, lifetime value and profitability
Analyse user behaviour, funnels, engagement and drop-off points to identify customer-experience improvements
Define success metrics for new features and analyse performance following launch
Design and analyse 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 and assess opportunities for ROLR
Build and maintain Power BI reports, dashboards and datasets
Write and optimise SQL against the Microsoft Fabric data platform and help maintain consistent metric definitions
Identify data quality issues and work with relevant teams to resolve them
Turn recurring analytical requests into self-service reporting where possible
Present findings and recommendations clearly to senior stakeholders

Requirements

What you’ll need

At least 3 years’ experience in strategy, commercial analytics, revenue analytics, FP&A or a similar analytical role
Strong SQL skills
Proficiency in Python for analysis, automation and modelling
Experience working with ETL/ELT processes and large transactional datasets
Experience measuring promotional or marketing performance, including ROI and incrementality
Comfortable with statistical concepts including A/B testing, significance and cohort analysis
Experience building financial models and business cases in Excel
Strong commercial judgement and ability to connect data to revenue, cost and customer outcomes
Ability to take loosely defined business questions, determine the right analytical approach and turn results into clear recommendations
Comfortable managing multiple priorities and delivering accurate analysis within tight timelines
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 modelling and DAX preferred
Tableau or Looker experience considered
Experience with Microsoft Fabric, Azure Synapse or Databricks and Medallion data architectures preferred
Knowledge of financial markets and instruments including derivatives, swaps, futures or options preferred
Experience in prediction markets, financial exchanges, brokerage, sports betting, iGaming, fintech or another high-volume consumer transaction business preferred
Experience working in a regulated environment where data accuracy and auditability are important preferred
Practical experience using AI and LLM tools to support research, analysis and automation preferred
Microsoft PL-300 or another relevant certification preferred

Benefits

Comp & perks

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