Senior Data Analyst
Description
We are looking for an experienced Senior Data Analyst to join our Data team and take ownership of SQL-heavy analytics, reporting, and data structuring. This is a senior, hands-on role with strong ownership across the analytics layer, including data modeling, pipeline design, and performance optimisation. You will work closely with cross-functional teams across the company, supporting multi-brand analytics. The role requires advanced SQL skills, strong Tableau experience, and a solid understanding of how large-scale data systems are structured, transformed, and optimised. Beyond reporting, you will play a key role in ensuring data is reliable, scalable, and structured correctly for analytics and downstream use cases.
Responsibilities
- Write, optimize, and maintain complex SQL queries, views, and reports across multiple brands and datasets
- Develop and maintain Tableau dashboards to visualize KPIs and insights for various teams
- Support cross-functional teams with both ad-hoc and recurring reporting needs
- Structure and model data in SQL/ClickHouse to ensure accuracy, scalability, and usability for reporting
- Design and maintain efficient data transformations to convert raw data into analytics-ready datasets
- Work with large-scale datasets (including billions of rows), applying techniques such as partitioning, sorting, and pre-aggregation to optimise performance
- Build and maintain incremental and idempotent data processes to ensure reliable and efficient updates
- Ensure data quality, consistency, and integrity across multiple data sources and reporting layers
- Investigate and resolve data discrepancies, working closely with engineering when needed
- Monitor and optimise query and dashboard performance, identifying inefficiencies and improving execution times
- Maintain visibility over data freshness and pipeline reliability to ensure trust in data
- Collaborate with Data & Engineering teams on data architecture, schema design, and analytics workflows
- Support onboarding of new data sources and brands into the analytics ecosystem
- Contribute to best practices around version control, documentation, and reproducible data workflows (e.g., Git-based SQL development)
- Translate data into actionable insights and communicate findings clearly to non-technical stakeholders
- Understand business KPIs, including financial metrics, and provide insights that inform strategic decisions
- Work independently, manage multiple priorities, and deliver high-quality outputs with minimal supervision
Requirements
- Expert-level SQL skills with experience building complex queries, views, and analytical datasets
- Strong Tableau experience, with ability to design scalable and user-friendly dashboards
- Proven experience working with large datasets and optimising performance at scale
- Strong understanding of data modeling concepts (e.g., materialized views, partitioning)
- Experience working with columnar databases (e.g., ClickHouse or similar)
- Experience designing and maintaining data transformations and pipelines (ETL/ELT, incremental processing)
- Strong understanding of data quality practices and validation techniques
- Experience using version control (e.g., Git) for managing SQL and analytics workflows
- Exposure to machine learning workflows, particularly feature preparation and dataset management
- Strong analytical thinking and problem-solving skills with high attention to detail
- Proven experience as a Senior Data Analyst or similar role with end-to-end ownership of reporting
- Experience in online gaming or multi-brand environments (preferred)
- Strong understanding of business KPIs, including financial metrics, and ability to translate them into actionable insights
- Strong communication skills with ability to work across multiple teams and document work effectively
- Ability to work independently and manage multiple priorities
Benefits
- Fully remote working environment
- 25 days of paid time off (PTO) annually
- Laptop budget provided to support a high-performance working setup
- Opportunity to work in a fast-paced, multi-brand online gaming environment
- High ownership and autonomy within the data function
