Data Analyst

What you'll be doing

• Owning analysis from initial hypothesis through to insight and recommendation
• Analysing user journeys, behaviour, conversion and engagement to identify opportunities to improve the product
• Designing and evaluating A/B tests, control groups and experiments to understand incremental impact
• Using product analytics tools such as Amplitude
• Writing advanced SQL and using Python for deeper analysis and automation
• Building and maintaining analytical data models using dbt
• Creating self-service reporting around product performance, experimentation and key metrics
• Working with external datasets and APIs to improve the quality, coverage and accuracy of partner/business data
• Identifying data quality issues, matching records and investigating root causes
• Exploring opportunities to use AI/LLMs and automation to improve analytical and data processes

What we're looking for

• You'll ideally come from a product-led, B2C, marketplace, subscription, e-commerce or digitally native environment , with experience using data to directly influence product and commercial decisions.
• Key experience: Strong hands-on SQL
• Strong Python experience
• Hands-on experience with dbt
• Experience with a product analytics or experimentation platform such as Amplitude, Mixpanel, Optimizely, OpenPanel, PostHog, Heap or similar
• Strong A/B testing and experimentation experience
• Dashboarding experience with Lightdash, Tableau or Power BI
• Good statistical understanding, including control/holdout groups and measuring incremental impact
• Experience analysing customer/user behaviour, journeys, conversion or engagement
• Ability to translate complex analysis into clear recommendations for Product and Commercial stakeholders
• Experience working with APIs, data quality, matching or enrichment would be beneficial
• An interest in AI/LLMs and how they can improve analytics workflows is a nice to have rather than essential