Data Analyst

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

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