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- Tasks: Own and optimise the analytics data layer for multiple iGaming brands.
- Company: Dynamic iGaming company focused on data-driven decision-making.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Make a real impact by improving data structures and ensuring reliable reporting.
- Qualifications: 5-8 years in data roles with strong SQL and data modelling skills.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Data Warehouse Analyst to take ownership of our analytics data layer across multiple iGaming brands. This role sits at the core of BI & Analytics - ensuring that our data is structured correctly, consistently defined, and reliable for all downstream reporting and decision-making. You will work across raw data, transformation logic, and reporting structures to ensure we have a clear and trusted "single source of truth" - while also identifying and fixing data issues at their root cause. This is a hands-on role for someone who thinks beyond queries and understands how data should be designed, not just consumed.
Key Responsibilities:
- Data Warehouse Ownership & Structure
- Own and evolve the structure of the analytics data layer (tables, views, aggregates)
- Ensure consistent definitions across key KPIs (GGR, NGR, deposits, bonus cost, player metrics)
- Eliminate duplication of logic and conflicting calculations across tables and reports
- Design and maintain scalable data structures to support analytics and reporting needs
- Work with backend/data teams to define how new data should be ingested and structured
- Data Quality & Reliability
- Ensure accuracy, completeness, and consistency of data across all reporting layers
- Identify discrepancies across datasets and trace issues back to source, transformation, or logic
- Design and implement structured QA and reconciliation processes
- Reduce recurring issues by improving underlying data structure rather than patching outputs
- Data Processing & Optimisation
- Work with stored procedures and transformation logic to maintain and improve data pipelines
- Optimise queries, aggregations, and table design for performance and scalability
- Implement efficient data strategies (pre-aggregation, incremental logic, partitioning where applicable)
- Ensure data is performant and usable across BI tools and analytics workflows
- Issue Investigation & Cross-Team Collaboration
- Act as the main point of contact for data issues between BI and backend/IT teams
- Translate business/data issues into clear technical requirements
- Drive resolution of issues end-to-end - from identification to validation
- Communicate clearly when data issues impact reporting or decision-making
- Data Enablement & Process Improvement
- Document data structures, logic, and KPI definitions
- Create clarity around how data is built and used across the business
- Introduce repeatable processes to reduce manual work and firefighting
- Support the analytics team with SQL-based analysis when needed
What We're Looking For:
Experience
- 5-8+ years in data, BI, or data warehouse roles
- Strong experience working with transactional datasets (e.g. bets, payments, events, financial data)
- Experience in iGaming or similar high-volume data environments preferred
- Experience working close to data modelling or warehouse layers (not just reporting)
Technical Skills
- Advanced SQL (joins, aggregations, window functions, performance optimisation)
- Experience working with stored procedures and transformation logic
- Strong understanding of:
- data grain and aggregation layers
- KPI consistency and single source of truth principles
- designing reporting tables and datasets
Data Thinking
- Thinks in terms of data structures and flow, not just queries
- Able to challenge inconsistent logic and improve data design
- Understands trade-offs between ideal architecture and business speed
- Comfortable working in imperfect environments and improving them over time
Collaboration & Ownership
- Strong communicator with technical and non-technical teams
- Able to clearly explain issues, root causes, and proposed solutions
- High ownership mindset - identifies problems and drives them to resolution
- Comfortable working independently in a fast-paced environment
What Success Looks Like (3-6 months):
- Clear and consistent KPI definitions across all key business areas
- Improved trust in data across BI, CRM, marketing, and product teams
- Reduction in recurring data issues and discrepancies
- More structured, scalable data layer supporting analytics and reporting
- Faster turnaround on data-related questions and issue resolution
Why Join Us:
This is an opportunity to take ownership of a critical layer of the business - the data that powers decision-making across multiple brands. You will have direct impact on how data is structured, trusted, and used, working closely with analytics, marketing, product, and engineering teams. If you enjoy solving real data problems, improving systems over time, and building clarity out of complexity - this is a strong opportunity to do it.
Senior Data Warehouse Analyst in London employer: sixvalues
Contact Detail:
sixvalues Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Warehouse Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the iGaming industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and data warehousing. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Think about how you’d explain complex data issues to non-technical folks – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Warehouse Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Warehouse Analyst. Highlight your experience with data structures, SQL skills, and any relevant iGaming background. We want to see how your journey aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our analytics team. Share specific examples of past successes that relate to the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to tackle real data issues. We love candidates who can think critically and improve data processes, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at sixvalues
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data warehousing concepts, especially around KPIs and data structures. Be ready to discuss how you've tackled data quality issues in the past and how you ensure a 'single source of truth' in your work.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL knowledge during the interview. Think about specific examples where you've optimised queries or worked with stored procedures. You might even be asked to solve a problem on the spot, so brush up on your SQL syntax and performance optimisation techniques.
✨Communicate Clearly
As a Senior Data Warehouse Analyst, you'll need to bridge the gap between technical and non-technical teams. Practice explaining complex data issues in simple terms. Be prepared to share examples of how you've successfully communicated data challenges and solutions in previous roles.
✨Emphasise Collaboration and Ownership
Highlight your experience working cross-functionally with BI, backend, and IT teams. Share stories that showcase your ownership mindset—how you've identified problems, driven resolutions, and improved processes. This will demonstrate your ability to thrive in a fast-paced environment while maintaining strong team dynamics.