Senior Analytics Engineer

The Role...
The Central Analytics Engineering team sits at the intersection of business teams, Insight Analytics, and Data Engineering to transform data into actionable assets for the business. This enables informed, data-led decision-making and allows us to deliver world-class products to our customers.

Our mission is to bring data to users by:

• Building a scalable and efficient data asset
• Monitoring and optimising data processes
• Enabling self-serve analytics

As a Central team, we work closely with a number of business units and squads on long-term projects, system migrations (which involve data modelling), and smaller business initiatives. As an AE team, we also dedicate time to our own internal data initiatives, which help us maintain a strong reputation in the business, ensure our tools and systems scale alongside the organisation, and provide a platform for us to do our best work - examples include data governance and observability. 

As a Senior Analytics Engineer, you’ll work on high-impact business initiatives, using your expertise in technology and commercial problem-solving to scale processes and drive smarter decisions. You’ll also lead our internal data initiatives, creating and maintaining a gold-standard data asset that the whole business can rely on. That means building automated pipelines, ensuring high data quality, and introducing smarter approaches to modelling, observability, and governance. By putting in place scalable, resilient systems, you’ll enable teams across Dojo to access fast, trusted insights and make confident decisions as the company continues to grow.

What you will do…

• Shape the direction of the data organisation by adopting best-in-class data sources, services, and tools.
• Identify opportunities across the organisation to improve decision-making and deliver scalable data solutions.
• Develop an in-depth understanding of business areas, acting as a trusted advisor to improve performance through data and technology.
• Support and shape KPIs, ensuring accurate and actionable data and reporting.
• Deliver hands-on data products using tools such as BigQuery, dbt, and Looker.
• Collaborate with technical and non-technical stakeholders, including Sales, Commercial, Marketing, and cross-functional squads.
• Contribute to the Analytics Engineering Chapter through demos, knowledge sharing, and skill development.

What you will bring…

• Strong academic background in computer science, information systems, engineering, machine learning, or another quantitative field.
• Expert in SQL with experience handling and manipulating large, complex datasets.
• Proven experience developing data reporting and BI solutions, from requirements gathering to delivery.
• Skilled in using data visualisation tools to convey insights and drive business decisions.
• Excellent communicator, able to explain complex ideas to technical and non-technical stakeholders.
• Commercially minded, balancing technical considerations with business impact.
• High attention to detail and strong standards for quality in work.
• Able to thrive in an agile, fast-growth environment.

Nice to have...

• You’ve got experience with:
• Modern cloud data warehouse platforms such as BigQuery or Snowflake
• dbt for transformation
• Looker and LookML
• Python
• Familiarity or experience with our tech stack: BigQuery, dbt, Looker, Salesforce, GCP, Fivetran, Airflow
• You’re comfortable working in an agile environment
• Experience mentoring others