My client, one of the big names in the iGaming industry, is looking for a Data Operations Analyst will help ensure the reliability and accuracy of client-facing data platforms. This position focuses on daily monitoring of data pipelines, validation of cross-system consistency, and initial troubleshooting.  Main Responsibilities: Monitor data pipelines integrating sources like MySQL, MongoDB, Kafka, and APIs into Redshift. Review automated QA outputs and resolve data quality issues. Detect and address anomalies such as missing data or delayed partitions. Execute standard fixes including DAG re-runs and metadata syncs. Escalate complex issues with clear documentation. Collaborate with QA and data engineers to improve test coverage and issue tracking. Maintain runbooks and report on data quality trends. Desired experience: 1–3 years in data QA, operations, or analytics support. Proficient in SQL (ideally Redshift/PostgreSQL). Familiarity with ETL processes and data flow concepts. Strong attention to detail and problem-solving mindset. Clear written communication and a collaborative approach. Nice to have: experience with Airflow, Flink, dbt, AWS services, Python scripting, and Iceberg/Parquet formats.

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Data Product Analyst -Remote • 100% Remote • B2B in Europe or regular employment in the UK • Up to €70,000 / £60,000 A leading company in the online gaming and betting industry is looking for a mid-to-senior level Product Analyst to join their team remotely. This role focuses on supporting product teams with analytics, reporting, and actionable insights to drive strategic decisions. Main Responsibilities: • Actively participate in business initiatives from the product perspective, including evaluating potential business impact, defining data and reporting needs, and developing frameworks to measure success. • Design and implement reporting solutions in Tableau and other tools to analyze the performance of product features, customer journeys, and behavioral metrics such as conversion funnels. • Scope, plan, and perform A/B tests and various analyses, translating results into clear, actionable recommendations for product stakeholders. • Contribute to the development and deployment of a robust analytics layer for A/B testing processes. • Take ownership of maintaining and enhancing reporting systems and dashboards used by product teams. Desired experience: • Strong command of applied statistics, including experimental design, analysis of time-series and cross-sectional data, and sound knowledge of probability concepts. • Proficiency in R, Python, or similar open-source programming languages for data analysis and manipulation. • Excellent SQL skills and experience building dashboards in Tableau, alongside solid abilities in Excel and other MS Office applications. • Effective communicator with the capability to explain technical analyses and insights to nontechnical audiences and to produce clear technical documentation or specifications. • Well-organized, capable of managing multiple projects simultaneously, and delivering results within set timelines.