Harnham
Data Analyst
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Data Analyst
Contract: 6 months
Location: once per week in London
Rate: £350-400pd Outside IR35
This is a hands-on analytical role sitting closely with Product, Commercial, and Partnership teams. You'll use product and behavioural data to understand how users engage with the proposition, design and analyse experiments, identify opportunities for improvement, and turn findings into clear commercial recommendations.
Alongside product analytics, you'll help improve the quality and usability of partner data, working with internal and external datasets to create a more complete picture of local businesses.
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
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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.
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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
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