Product Data Analyst – User Behavior & Analytics

About us EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the Role We are looking for a Product Data Analyst to join the UXMatrix Product Team and help establish a consistent, evidence-based approach to product development and optimization. You will define how product performance and user behaviour are measured, ensure that the necessary data is collected accurately, and transform that data into insights and recommendations that Product Owners, UX Designers, Engineering teams, and business stakeholders can act upon. This role extends beyond dashboard creation and regular reporting. You will investigate user journeys, identify friction and opportunities, support product discovery, define feature-success criteria, and determine whether released initiatives achieve their intended customer and business outcomes. You will work across UXMatrix products, with a particular focus on critical frontend journeys such as registration, login, deposit, sportsbook navigation, event discovery, bet placement, casino discovery, promotions, content interaction, and customer retention. What You'll get to do: Product Measurement Strategy Work with Product Owners and stakeholders to translate business objectives into measurable product outcomes and KPIs. Establish clear success criteria before features and initiatives enter development. Define leading and lagging indicators across acquisition, activation, engagement, conversion, retention, and feature adoption. Help product teams distinguish between activity metrics, diagnostic metrics, and measurable customer or business outcomes. Ensure product recommendations are supported by reliable data, user research, or clearly documented hypotheses. Analytics Tracking and Data Quality Define and maintain analytics tracking plans for websites, applications, widgets, and critical user journeys. Translate business questions and measurement objectives into clear technical tracking requirements. Validate analytics implementations before and after release. Monitor data quality and investigate broken events, incomplete parameters, unexpected changes, and reporting discrepancies. Ensure that tracking implementations comply with consent, privacy, security, and applicable regulatory requirements. Product and User-Behaviour Analysis Identify abandonment points, friction, behavioural patterns, and opportunities for improvement. Segment users according to relevant characteristics such as acquisition source, device, market, lifecycle stage, product preference, engagement level, or previous behaviour. Conduct funnel, cohort, retention, conversion, path, and behavioural analyses. Analyze critical user journeys Combine quantitative data with UX research, customer feedback, technical performance, and operational context. Reporting and Data Visualization Build and maintain dashboards that provide stakeholders with a clear view of product performance. Create reporting views appropriate for Product Owners, UX teams, Engineering teams, operators, commercial stakeholders, and senior management. Present trends, anomalies, risks, and opportunities clearly and concisely. Reduce dependency on manual reporting by developing reusable and automated dashboards. Ensure KPI definitions remain consistent across products, teams, and reports. Deliver focused analysis and actionable recommendations rather than reporting data without interpretation. Product Discovery and Decision Support Support Product Owners during product discovery by evaluating evidence, sizing opportunities, and identifying behavioural problems. Provide data to support roadmap prioritization, business cases, and investment decisions. Help product teams formulate measurable hypotheses for proposed product changes. Challenge assumptions and stakeholder requests when they are not supported by evidence or a clearly defined customer problem. Conduct market, benchmark, and competitor analyses when relevant to product decisions. Contribute relevant data and insights to product reviews, client presentations, RFP responses, and strategic discussions. Experimentation and Feature Evaluation Define hypotheses, success metrics, guardrail metrics, and evaluation criteria for product experiments. Support A/B tests, controlled rollouts, phased releases, and other product-validation methods. Conduct post-launch reviews to determine whether delivered features achieved their intended outcomes. Track whether recommendations lead to product changes and measurable improvements. Stakeholder Collaboration Work closely with Product Owners, UX Designers, Developers, QA Engineers, Architects, BI teams, operators, and commercial stakeholders. Facilitate workshops to define business questions, KPIs, success criteria, and tracking requirements. Proactively identify relevant insights rather than working exclusively from reporting requests. Establish a regular product-insight cadence through reviews, reporting, and focused deep-dive analyses. Keep stakeholders informed about measurement gaps, data-quality risks, and significant product-performance changes. What we’re looking for: At least three years of experience in product analytics, digital analytics, business intelligence, data analysis, or a comparable analytical role. Previous experience in sportsbook, iGaming, gaming, fintech, e-commerce, or another transactional or regulated digital industry. Strong SQL skills and experience extracting, combining, validating, and analyzing data from multiple sources. Exper