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Analytics Engineer (Mid level)
Freeagent · Edinburgh, City of Edinburgh
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Other (Adjacent or hard to classify.)
posted
1d ago
location
Edinburgh, City of Edinburgh
languages
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> description
Our Analytics Team
The analytics engineering team’s mission is to empower and enable the business to make rigorous and impactful use of data. You can read more about our work on our engineering blog. After successfully hiring recently, we're now looking for an analytics engineer to come in at mid level.
The analytics engineering team’s mission is to empower and enable the business to make rigorous and impactful use of data. You can read more about our work on our engineering blog. After successfully hiring recently, we're now looking for an analytics engineer to come in at mid level.
The role
Analytics engineers develop and build on our data platform to ensure we collect and make available the data the business needs, while maintaining accuracy and security. They engage with our colleagues to ensure they have the knowledge and skills to work with data effectively, provide support with questions, and carry out detailed analysis applying specialist knowledge when required.
Analytics engineers develop and build on our data platform to ensure we collect and make available the data the business needs, while maintaining accuracy and security. They engage with our colleagues to ensure they have the knowledge and skills to work with data effectively, provide support with questions, and carry out detailed analysis applying specialist knowledge when required.
We believe in a learning culture and encourage self-development. Our regular company hack days and wiggle weeks provide a great opportunity for analysts to pursue their own ideas and learn new technologies.
Day to day your role will involve
- Ownership of data pipelines, data warehouse and BI tooling
- Sourcing, modelling and making available data required to underpin the company strategy and day to day activities
- Maintaining the accuracy and security of our data sources
- Managing stakeholder relationships and priorities in your area of focus
- Promoting pragmatic and effective use of data to drive decision-making
- Training stakeholders across the organisation to improve their use of data
- Supporting stakeholders by carrying out analysis requiring specialist knowledge
- Reducing ambiguity or reconciling disagreement between teams
- Encouraging a culture of experimentation and scientific rigour in the organisation
- Developing and mentoring other members of the team