We are looking for a Staff Product Data Analyst to build and drive the analytical infrastructure of our Self-Service Data Strategy. Your work will directly enable product, marketing, and operational teams to confidently use data on their own, by helping us understand self-service adoption, identify opportunities to improve our data products, and support a growing data-literate culture at Superbet.
You will work closely with the Data Products organisation. This is not just about dashboards — it’s about designing for our internal users a data experience that’s findable, accessible, and trusted by default.
🎯 What you’ll be doing1. Understand self-service adoption and success
- Define and track self-service usage metrics: time-to-insight, active users, tool penetration, usage by persona, engagement patterns, retention, stickiness.
- Build analytics around the data platform: what’s used vs. not, by whom, how often, and why.
- Measure platform and tooling performance across data products: Acryl, Tableau, FullStory, Snowflake.
- Analyse qualitative feedback and user satisfaction data to inform roadmap priorities.
2. Inform What to Build Next
- Partner with the Self-Service Data Product Manager to identify product opportunities using real usage data and common friction points.
- Build derived metrics on top of our metadata (e.g. KPI coverage across dashboards, data quality scores, documentation completeness).
- Segment users to highlight patterns in behaviour, gaps in enablement, and potential gamification levers.
3. Enable change and champion adoption
- Create and maintain analytics for self-service training programs, certifications, and onboarding journeys.
- Build compelling narratives to inform stakeholders and promote data tools through internal storytelling.
- Act as a subject-matter expert for KPIs, Acryl (data catalog), and Data Quality frameworks—supporting enablement with content and data.
4. Build Internal Reporting
- Develop MVP dashboards for internal data product performance monitoring.
- Contribute to establishing the analytics foundation for a scalable self-service ecosystem.
- 5+ years in a data analysis or insights role, ideally with a product or enablement focus.
- Demonstrated impact via internal product analytics or platform usage analysis.
- Strong SQL skills, with comfort navigating raw and modelled layers.
- Experience visualising data and building compelling stories via dashboards
- Strong communication skills — you can go from deep data work to actionable, business-friendly storytelling.
- Ability to influence stakeholders at various levels in changing behaviours/ways of working through formal and informal means
- Experience working on data platform analytics, internal data products, or enablement programs.
- Hands-on experience with data catalog or metadata tools (e.g., Acryl, Collibra, Alation).
- Understanding of self-service analytics tools like FullStory, Amplitude, etc
- Familiarity with internal tooling usage analytics or instrumentation of platform adoption.
- Experience building training content or running enablement sessions.
You’ll play a critical role in making Superbet a truly data-driven company — not by producing all the insights yourself, but by making it easier for everyone else to do so confidently and independently.
Top Skills
What We Do
Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day.
We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community.
A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.
