Data Analyst (Product)

Salary: £60,000-£80,000+ share options

Location: London/Hybrid - 2 days per week onsite

About Lawhive

We're on a mission to make sure everyone has access to the law.
Lawhive is an online platform for consumers and small businesses to get legal help for a fraction of the cost of a law firm. Our platform combines regulated human lawyers collaborating alongside the world’s first AI lawyer, specifically built for consumer legal work.

Equal access to the law is one of the biggest and most pressing unsolved problems in society today. We’re passionate about leveling the playing field and believe access to the law should be a basic utility in society.

Our AI lawyer Lawrence is built on top of our own fine tuned LLM and recently passed the UK’s bar exam equivalent.

We’re backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. We recently secured a $40M Series A funding round to facilitate international expansion and to grow our team, representing one of the five largest Series A rounds in Europe for 2024.

The Data team partners across Product, Marketing, Finance, Engineering, Operations and AI to build a strong analytics foundation and help Lawhive make smarter, data-informed decisions. We support the organisation by improving visibility, shaping the roadmap, enabling experimentation and deepening our understanding of user behaviour.

Over the next 12 months, we’re focused on:

• Owning and scaling our data platform

• Supporting acquisitions with robust data and insights

• Expanding our reporting capabilities, including exploring the use of AI agents to enhance analytics workflows

• Building scalable product analytics and experimentation practices

We're a fast-growing startup looking for a Product Data Analyst to help us build world-class products through rigorous data analysis and experimentation. You will be a key member of our data and analytics team, partnering closely with Product, Engineering, and Design to understand how users interact with our platform and drive measurable improvements to the customer experience.

You will have ownership over product analytics, working with our modern data stack (BigQuery, dbt, Hex) to build data models, design experiments, and surface insights that shape our product roadmap. Your work will directly influence what we build, how we prioritise, and how we measure success.

This is a unique opportunity for someone who loves digging into user behaviour, designing rigorous A/B tests, and translating findings into actionable product recommendations. You will be joining a small but growing data and analytics team that values creativity, continuous improvement, and the autonomy to explore new approaches to making the most of our data.

• 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.

• 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.

• Introductory call with our Talent team

• 1:1 with your hiring manager

• Technical interview / practical skills assessment

• Values interview with one of our Founders

• We offer!

• 💰 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!

Diversity at Lawhive

At Lawhive we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team. We’re not yet where we want to be but as we scale we’ll only ever increase the focus we apply to this.