Senior Data Warehouse Analyst

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🕒 April 14

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Six Values

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2024

🤝 B2B

🎮 Gaming

B2B • Gaming

Six Values is a B2B betting and gaming technology company that creates player-facing and operator-facing digital experiences for the gaming industry. They provide website and application development, hosting and infrastructure, marketing, data analytics, account management, and payment system solutions, emphasizing speed, efficiency, clarity, continuous improvement, decisiveness, and teamwork. Six Values targets betting and gaming operators seeking turnkey technology, managed services, and data-driven growth support.

📋 Description

• 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 • 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 • 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 • 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 • 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

🎯 Requirements

• 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) • 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 • Experience improving data performance (large tables, optimisation, query efficiency)

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities