Senior Data Analyst

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.

Key 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

Required Qualifications

• 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