Data Analyst
New
Hybrid model, Connected Working, combines the best of both worlds – office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.
Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.Full-Time
Salary35,000 - 60,000 GBP per year
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Job Details
- Required Skills
- PythonSQLETLGoogle AnalyticsData engineeringdbtR
Requirements
- Experience as a Data Analyst (or similar role) within consumer-facing product teams
- Experience applying methods for statistical inference (e.g. Bayesian, Frequentist) and analysing A/B tests
- Experience in planning and completing analytical tasks on time, being responsible for gathering and defining analysis requirements and having the courage to challenge misconceptions.
- The ability to simplify and articulate complex analysis into clear, actionable insights and easy-to-digest outputs for diverse audiences.
- Experience with common analytics tools used for tracking and analysing user behaviour, such as Google Analytics or similar platforms.
- Proficiency in SQL and Python/R, coupled with knowledge of ETL processes and foundational data engineering principles.
Responsibilities
- Support establishing metrics in your product area, appropriate monitoring and ensuring accuracy
- Collaborate with engineers to implement and maintain data products. Most of our data modelling is done using dbt.
- Ensure robust and accurate tracking our user journeys through your product, and alignment with business-wide approach to user tracking
- Plan, execute and analyse A/B tests in your product area
- Analyse the performance of your product, drive its improvement through your recommendations and ensure reliable evaluation of product changes and evolution
- Play a key role in aligning Growth and Product Analytics principles, supporting a culture of evidence-led thinking and contributing to knowledge sharing across the discipline.
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