Data.

Pentasia is partnering with an exciting high-growth online sweepstakes business that has recently completed a major rebrand and is entering its next phase of expansion. As the business continues to scale, they are seeking a Director, Product & Commercial Analytics to become a key member of the leadership team. Reporting directly to the General Manager, this role will sit at the centre of commercial decision-making, helping shape product strategy, player growth, retention, payments performance, profitability, and overall business success. This is far more than a reporting function. The successful candidate will use data to influence strategic decisions, challenge assumptions, identify growth opportunities, and provide leadership with the insights needed to scale a profitable and sustainable gaming business. Key Responsibilities Commercial & Player Analytics Own and optimise key business metrics including LTV, ROAS, retention, profitability, player value and cohort performance. Evaluate acquisition quality, CRM effectiveness, VIP performance and player lifecycle activity. Develop frameworks that support investment and resource allocation decisions. Product & Gaming Analytics Partner with Product and Operations teams to assess game performance, promotional effectiveness, loyalty initiatives and personalisation strategies. Analyse engagement, conversion, retention and monetisation metrics. Support commercial decision-making through supplier and content performance analysis. Payments, Risk & Sweepstakes Economics Analyse payments performance, fraud trends, chargebacks, KYC outcomes and redemption behaviour. Evaluate sweepstakes economics and identify indicators of operational or compliance risk. Help ensure growth remains healthy, scalable and sustainable. Forecasting & Strategic Decision Support Build forecasting models across acquisition, retention, revenue and profitability. Support budgeting, planning and scenario analysis. Develop executive reporting frameworks and KPI governance processes. Deliver strategic recommendations that directly impact business performance. What We're Looking For Required 5+ years of experience within analytics, strategy, product analytics, gaming analytics or a related field. Strong SQL and business intelligence expertise. Proven ability to translate complex data into commercial decisions. Experience partnering with senior stakeholders and cross-functional teams. Excellent communication, analytical and problem-solving skills. Preferred Experience within Sweepstakes, Social Casino or iGaming. Knowledge of player value modelling, CRM analytics, payments, fraud or retention. Experience with forecasting, experimentation and statistical analysis. Familiarity with tools such as Snowflake, Databricks, Power BI, Tableau or Python. Why Join? This is a rare opportunity to join a rapidly scaling gaming business at a pivotal stage of growth. You will work directly with executive leadership, influence strategic direction, and build the analytical foundations that drive long-term commercial success.

Data Engineer A fast-growing AI technology company is looking for a Data Engineer to design, build and maintain scalable data pipelines supporting real-time products and data science initiatives. London-based hybrid role, with office attendance in Piccadilly 3 days/week.  Salary: £55,000–£60,000 + annual bonus and enhanced pension. Main Responsibilities: •    Build scalable and reliable ETL processes and data pipelines using multiple data sources.  •    Partner with data scientists to deploy models and analytics workflows into production.  •    Support the design and maintenance of the company’s data architecture.  •    Improve real-time systems, platform stability and ETL reliability.  •    Monitor and enhance data quality, performance and scalability.  Desired experience: •    Experience building scalable ETL processes and data pipelines.  •    Advanced Python for data processing. Candidates must be comfortable writing performant, production-grade code and clearly explaining it.  •    Experience with pandas, including transformations, joins, aggregations and large datasets.  •    SQL & Git.  •    Experience with cloud (Azure, AWS etc).  •    Ability to commute to the London office three days per week.  •    Experience with Airflow, Dagster, Jenkins, Tableau, Power BI, Synapse, Snowflake, Docker, RabbitMQ, Kafka or Spark would be advantageous, but is not mandatory.

An exciting opportunity for a Sr Data, Analytics and Martech leader to join a fast-growing online casino business at a foundational stage. This person will build the data function from scratch, creating the foundations for analytics, tracking, attribution, BI, customer insight and marketing technology. This is a hands-on leadership role for someone who understands both data analytics and digital marketing measurement. The business is currently migrating platforms and building its internal team, so they need someone who can define the strategy, but also get close to the data, vendors, tagging, attribution models and reporting setup. Main Responsibilities: Build and lead the data, analytics and marketing technology function. Create the data foundations, reporting framework and single source of truth for key business KPIs. Define tracking standards across web, app, CRM, paid media, affiliates and product journeys. Build a clear attribution and digital marketing measurement framework. Pull together data from platform providers, marketing channels and third-party tools such as paid social, search and CRM platforms. Support commercial, product, CRM and marketing teams with actionable analytics. Develop insight around customer behaviour, game performance, retention, churn, lifetime value and recommendations. Work closely with vendors and internal stakeholders to ensure data is structured, reliable and usable. Remain hands-on when needed, including extracting and analysing data using tools such as SQL, MySQL and/or Python. Desired experience: Data, analytics, BI, commercial analytics or marketing technology. Strong understanding of digital marketing, tracking, attribution and key marketing KPIs. Ability to work hands-on with data, not just advise from a management level. Strong knowledge of BI, reporting, data architecture, KPI frameworks and data governance. Understanding of CRM analytics, customer lifecycle, retention, churn and LTV. Strong stakeholder management skills and the ability to explain complex data topics clearly.