Data.

A leading international digital entertainment company is looking for an experienced Business Intelligence Analyst to support marketing and product teams with data-driven insights. What You’ll Do Build dashboards and analyses using SQL and Tableau Translate business requirements into actionable data solutions Develop customer lifetime value and financial models Deliver ad hoc analysis, projections, and performance insights Identify automation, efficiency, and cost-saving opportunities Communicate insights clearly to senior stakeholders What We’re Looking For Bachelor’s degree in a relevant field 3+ years’ experience in BI or data analytics Strong SQL and Tableau skills Experience with predictive modeling and large datasets Excellent communication and stakeholder management skills Experience in digital or online gaming is a plus What We Offer Competitive salary and benefits Flexible, collaborative work environment Career growth within an international organization Regular social events and a casual dress code

My client is looking for a seasoned specialist in Sportsbook Risk Control Modeling to help shape the core intelligence of their risk engine. In this role, you will design and implement advanced user profiling models, automate risk coefficient assignments, and uncover betting patterns that differentiate recreational players from professionals and syndicates. Key Responsibilities Risk Profiling & Modeling Roadmap Lead the development and execution of a comprehensive modeling strategy for Sportsbook and iGaming user behavior, ensuring robust risk controls that safeguard margin. User Classification & Persona Engineering Build sophisticated classification models to segment users into distinct personas (e.g., VIP, Recreational, Bonus Abuser, Professional/Sharp) using granular betting and transactional data. Risk Coefficient Architecture (CCF) Design and deploy predictive models to assign User Risk Control Coefficients (CCF). Automate tiered risk-control actions based on real-time behavioral and financial indicators. Betting Pattern Analysis Develop models to detect anomalous behaviors such as arbitrage, syndicate activity, and sharp betting patterns. Production-Ready ML Pipelines Architect scalable machine learning pipelines for feature engineering, model training, and real-time risk scoring in production environments. Strategy Optimization Translate model outputs into actionable strategies for limit-setting, pricing adjustments, and marketing restrictions, collaborating closely with Trading and Risk teams. Required Qualifications & Skills Domain Expertise Proven experience in Sportsbook Risk Management or Trading Analysis, with a deep understanding of betting markets and risk impact on profitability. Technical Proficiency Expert-level skills in Python/R and SQL, with hands-on experience in ML frameworks (XGBoost, LightGBM, or Deep Learning) for classification and anomaly detection. Risk Modeling Experience Demonstrated success in building user profiling or propensity models within gambling or high-frequency fintech environments. Business Acumen Ability to communicate complex concepts like model drift and precision/recall in terms of NGR impact and turnover to non-technical stakeholders. Preferred Background Tier-1 Industry Experience Prior experience with leading operators such as FanDuel, DraftKings, BetMGM, Bet365, or Entain. Trading Awareness Familiarity with odds compilation and adjustments based on market liabilities and sharp action.  

The Company: This opportunity is with a top 10 online casino operator by revenue in New Jersey. They operate in a highly regulated iGaming environment and is focused on delivering highly personalized, data-driven player experiences. This success has fueled continued growth and expansion plans to launch in new regulated markets. About the Role: As a Senior BI Analyst you will own the full analytics lifecycle — from raw data in the datalake to executive-ready insights. This is a hands-on role for someone who is equally comfortable querying large datasets in AWS, working within a modern data warehouse, and building Tableau dashboards that are actively used to run the business. You will work closely with the senior leaders and Product, Marketing, Finance, Risk, and Compliance teams to turn complex datasets into actionable insight that directly impacts profitability, customer outcomes, and regulatory confidence. Key Responsibilities: Data Understanding & Sourcing Develop deep understanding of our client's data ecosystem, including transactional, customer, marketing, product, bonus, and risk data Work hands-on with the AWS-based Data Lake and modern Data Warehouse Source, join, and transform data from multiple live and batch data sources Validate data integrity and ensure analytical accuracy across platforms Data Manipulation & Analysis Write efficient SQL to extract, aggregate, and analyze large datasets Build and maintain analytical datasets optimized for reporting and real-time decision-making Perform exploratory analysis to identify trends, anomalies, and opportunities Partner with stakeholders to frame the right analytical questions Reporting & Visualization Design, build, and maintain Tableau dashboards used for live and near real-time business steering Translate complex metrics into clear, decision-oriented visualizations Own core performance dashboards (revenue, unit economics, bonuses, player behavior, risk exposure) Business Partnership Act as a thought partner to senior stakeholders, not just a report builder Proactively surface insights, risks, and opportunities Support forecasting, budgeting, and strategic planning with data-backed analysis Data Quality & Governance Establish consistent metric definitions and documentation Support auditability and regulatory requirements through transparent data logic Qualifications: 5+ years of experience in BI, analytics, or data analysis role Strong SQL skills and experience working with large, complex datasets Hands-on experience with AWS data environments and modern data warehouse architectures Advanced experience with Tableau Strong understanding of data modeling, metric design, and analytical best practices Ability to communicate insights clearly to technical and non-technical audiences Experience in iGaming, gaming, fintech, or other regulated industries Experience with event-level data and real-time or near real-time analytics Exposure to predictive modeling, LTV analysis, or ML-adjacent workflows Comfortable operating in a fast-moving, high-accountability environment