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.

Data at Lawhive 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

About This Role 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.

What You’ll Bring

• 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.

Interview process

• 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!

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!

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.

Compensation Range: £60K - £80K