Senior Data Warehouse Analyst

Six Values

Senior Data Warehouse Analyst taking ownership of analytics data structure and quality across multiple iGaming brands. Ensuring reliable data for reporting and decision-making with key responsibilities in collaboration and issue resolution.

Posted 4/14/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingdata warehousingdata structuresdata pipelinesperformance optimizationstored proceduresdata transformationdata aggregationdata quality assurance

Soft Skills

communicationproblem-solvingcollaborationdocumentationprocess improvementanalytical thinkingattention to detailtechnical requirements translationissue resolutionclarity in reporting