Hybrid Data Analyst – Product

at Lawhive

• Job title: Data Analyst – Product
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: £60,000 - £80,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: SQL, Tableau
• Location requirements: Hybrid, London, United Kingdom

About the role

• Data Analyst collaborating with cross-functional teams to analyze product metrics and drive improvements. Leveraging data to influence product roadmap and enhance user experience at Lawhive.

Responsibilities

• Partner with Product Managers, Designers, and Engineers to define success metrics for new features and initiatives, translating product strategy into measurable KPIs.
• Analyse user behaviour across the product to understand engagement patterns, feature adoption, retention drivers, and friction points in the user journey. Proactively identify trends, anomalies, and emerging patterns in product data.
• Design, implement, and analyse A/B tests and other controlled experiments to evaluate feature changes, ensuring statistical rigour and clear interpretation of results.
• Build and maintain product analytics dashboards and self-serve reporting tools that give stakeholders real-time visibility into product performance.
• Develop and maintain core data models in dbt that serve as a single source of truth for product metrics, ensuring consistency across teams.
• Partner with Engineering to ensure robust event tracking and instrumentation, defining tracking plans and validating data quality for new feature launches.
• Size opportunities and inform the product roadmap by quantifying the potential impact of proposed features and improvements.
• Champion a culture of experimentation by helping teams develop hypotheses, structure tests, and interpret results to drive iterative product development.
• Work with tools across the product analytics ecosystem, including PostHog, and collaborate on tagging strategies with Google Tag Manager.
• Analyse the performance and usage of AI-powered features, including LLM-based tools, to understand user adoption, identify failure modes, and measure impact on key product outcomes.
• Partner with the AI team to define evaluation metrics for model performance, helping to establish feedback loops between product usage data and model improvement efforts.
• Design and analyse experiments to test AI feature variants, prompt strategies, or model changes, ensuring we can measure both user experience and output quality.

Requirements

• 3-5+ years in a product analytics, data analytics, or data science role, ideally within a product-led organisation.
• Strong proficiency with SQL for complex data querying and manipulation.
• Solid understanding of A/B testing methodology, including experiment design, sample size calculations, statistical significance, and common pitfalls.
• Experience working with event-based product analytics data and familiarity with tools like PostHog, Amplitude, Mixpanel, or similar.
• Exceptional attention to detail and rigour in how you approach analysis and data validation.
• Strong communication skills with the ability to distil complex findings into clear, actionable recommendations for both technical and non-technical audiences.
• Comfort with ambiguity and the ability to structure analytical problems independently. Proven ability to thrive in a fast-paced, high-growth environment where priorities can shift.
• Proficiency with BI and reporting tools such as Hex, Tableau, Looker, or similar.

Benefits

• Meaningful early-stage equity at one of Europe’s fastest growing startups
• 33 days’ annual leave (25 + bank holidays) plus your birthday off
• Pension contribution via Nest
• 20% off legal fees through Lawhive
• Top-spec Macbook
• Regular team building activities and socials!