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

Proficiency with a modern data platform stack
You have designed and implemented pipelines to process structured and unstructured data to enable stakeholders to solve business problems
You can demonstrate proficiency with modern data platform languages and tools such as Python, S3, Redshift, Lambda, Dagster, dbt and dlt
You are proficient in SQL for data modelling and transformation
You have developed data models to enable stakeholders to self-serve business questions by using BI software such as Looker
You have created appropriately designed reports and visualisations to support non-technical audiences
You have experience designing, running and analysing the results of A/B tests together with business stakeholders
You have a demonstrable ability to manage your own work backlog in collaboration with leadership and business stakeholders in a commercial setting
You are comfortable working with the team to answer questions from stakeholders

Analytics Engineer, Mid Level

Key skills