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  

My client are seeking a commercially minded, data-driven CRM Cross-Sell Specialist to join the team. This role focuses on converting sports betting and prediction players into highly engaged casino users through personalised journeys, smart segmentation, and behavioural insights. If you excel at turning data into strategy, know how to motivate players with the right bonuses at the right time, and understand what makes US players tick, this opportunity is for you. Responsibilities: Own the full cross-sell strategy from Betting/Prediction to Casino Build structured journeys, incentives, and messaging tailored to US player psychology Develop automated flows that introduce and convert users into casino sessions Create a quarterly cross-sell roadmap across major launches (UK, Prediction, Crypto) Work with BI to identify high-potential cross-sell cohorts based on predictive behaviours Design bonus-driven cross-sell incentives (missions, rakeback, jackpots, bundles ???????Collaborate with Product, Creative, VIP, and Compliance teams for seamless execution Requirements: 2–4+ years in CRM, lifecycle marketing, retention, or growth, ideally in multi-product environments Proven experience designing bonus strategies and managing promotional incentives Deep understanding of player psychology, with strong insight into US player behaviour Highly analytical: confident with BI dashboards, segmentation, experimentation, and A/B testing Hands-on experience with CRM platforms, bonus engines, and automation tools Ability to turn behavioural data into clear strategies and measurable uplift