The Insight, Data & CRM team helps Moneybox understand the business, optimise the way we use data, and communicate with our customers in the best possible way. Analytics guides our long-term strategy, our quick decisions and, increasingly, our automations. This position will report into the Analytics Engineering Manager within the Insight team, as we grow the way we use engineering principles in the Insight, Data & CRM team. You will be involved in the whole life cycle of how we go from raw data to insightful analysis:
What you'll do
- Monitor the pipelines that bring data into our Data Lakehouse, identifying potential issues early
- Design, build and maintain our automated data transformations, to create analysis-ready datasets and sources of truth
- Collaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics features
- Help maintain code quality and organisation
- Promote the benefits of analytics engineering practices among the wider Insight Team
Who you are
- Excited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scale.
- Loves to build tools that make your teammates’ jobs easier.
- Thrives in a fast-paced startup environment.
- Interested in all areas of the business and enjoys hearing about what other team members are working on.
- Genuine interest in financial technology.
- Constantly looking to improve all areas that you can affect.
- Excited about learning and experiencing new ways of thinking.
Experience and skills - essential
- Experience with SQL
- Experience as a data analyst delivering insight to stakeholders, or significant experience (2-3 years) working closely with data analysts
- Experience with automating data processes
Experience and skills - desirable
- 3+ years experience of SQL, ideally within a modern data platform (e.g. Databricks, Snowflake, BigQuery)
- Experience with git for writing, storing and collaborating on production level code
- Experience using GitHub Actions
- Proficient understanding of Python
- Familiarity with dbt Cloud
- Familiarity with dbt Core
- Familiarity with Power BI, or another modern BI platform
- Applied knowledge of analytics engineering best practices and methodologies
- Knowledge of CI/CD
- Experience with the principles of modelling data warehouses (Gold, Silver, Bronze table structure, Kimball modelling etc)
Visa Sponsorship:
At this time we cannot offer visa sponsorship for this role and we cannot consider overseas applications.
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Last updated on Jul 25, 2024