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- Tasks: Analyse data to drive financial insights and support strategic decisions across the business.
- Company: Join a fast-growing legal tech startup revolutionising the industry with AI.
- Benefits: Competitive salary, equity options, 33 days off, and remote work flexibility.
- Other info: Be part of a diverse team focused on innovation and continuous improvement.
- Why this job: Make a real impact in a dynamic environment while shaping the future of law.
- Qualifications: 4+ years in data analytics with finance exposure; strong SQL and spreadsheet skills.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Employment Type: Full time
Location Type: Hybrid
Department: Engineering
Compensation: £60K – £80K • Offers Equity
About Lawhive
Our mission is to make the law accessible to everyone. The legal industry is built on technology and process that hasn’t been updated in hundreds of years - that’s why we’ve reinvented the entire model from the ground-up with our own bespoke AI operating system at the core. Lawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers. Lawhive Labs is how we bring this vision to life. It’s our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.
We’re backed by top-tier investors including Google Ventures, Balderton Capital and TQ Ventures and in December 2024 we secured $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. We’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.
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 legal tech startup looking for a Data Analyst to join our Data and Analytics team. While this is a generalist analytics role with exposure across the business, you will have a primary focus on Finance and Revenue, partnering closely with our Finance team, Engineering, and leadership to ensure we have accurate, timely, and actionable financial insights across our UK and US markets.
You will have ownership over revenue and finance analytics, working with our modern data stack (BigQuery, dbt, Hex) alongside spreadsheet-based financial models to build data pipelines, reconcile complex payment flows, and surface insights that shape our financial strategy. Your work will directly influence how we track performance against budget, forecast revenue, and support critical business decisions including M&A activity. While your initial focus will be on Finance, this is a generalist role — as you grow with the team, you’ll have the opportunity to expand your scope across product, marketing, and operations, contributing to the full breadth of analytical work across the business.
This is a unique opportunity for someone who loves untangling complex revenue data, building robust financial reporting, and bridging the gap between technical data systems and finance stakeholder needs. You will be joining a small but growing data team that values rigour, continuous improvement, and the autonomy to solve meaningful problems.
What You’ll Do
- General Analytics
- Conduct ad-hoc analyses across the business to answer strategic questions and support decision-making.
- Proactively identify trends, anomalies, and emerging patterns in data, surfacing insights that may not be immediately obvious to stakeholders.
- Contribute to the development and maintenance of core data models in dbt, ensuring data quality and consistency across the organisation.
- Revenue & Financial Analysis
- Track and analyse performance against budget, providing variance analysis and early warning systems for budget deviations before month-end close.
- Conduct deep-dive analyses into revenue streams, profitability, and billing patterns across legal areas and markets.
- Support forecasting and scenario modelling for business planning, including pricing changes, market expansion, and other strategic initiatives.
- Data Infrastructure & Reporting
- Develop and maintain core data models in dbt for revenue metrics, ensuring consistency and accuracy across teams.
- Automate month-end reporting workflows currently handled manually in spreadsheets, while maintaining the flexibility finance teams need.
- Establish standardised financial data definitions and documentation to ensure consistency across teams and markets.
- Cross-functional Partnership
- Translate Finance team needs into clear data and engineering requirements, owning the relationship between technical implementation and business outcomes.
- Support M&A activity including due diligence, integration, and standardisation of financial metrics across entities in the Group.
About You
- 4+ years in a Data Analytics role, with at least some exposure to finance or revenue analytics, ideally within a high-growth or product-led organisation.
- Strong proficiency with SQL for complex data querying and manipulation, combined with advanced spreadsheet skills (Excel/Google Sheets) for financial modelling and ad-hoc analysis.
- Solid understanding of revenue metrics and financial concepts: gross vs net revenue, deferred revenue, cost allocation, margin analysis, and multi-currency reporting.
- Strong communication skills with the ability to translate complex data findings into clear recommendations for both technical and non-technical audiences.
- Proficiency with BI and reporting tools such as Hex, Tableau, Looker, or similar.
- Proven ability to thrive in a fast-paced environment where finance reporting needs can shift with business priorities.
Bonus Points
- Hands-on experience with dbt for data transformation and modelling.
- Experience supporting M&A due diligence, integration, or financial consolidation across entities.
- Familiarity with budgeting and forecasting processes, including variance analysis and scenario planning.
- Programming experience in Python or R for more advanced statistical analysis or automation.
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!
- Meaningful early-stage equity at one of Europe’s fastest growing startups
- 33 days’ annual leave (25 + bank holidays) plus your birthday off
- One month work from anywhere budget
- 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.
Data Analyst in London employer: Lawhive
Contact Detail:
Lawhive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for your interviews by researching the company and its culture. Understand their mission and values, especially how they relate to data analytics. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your technical skills! Brush up on SQL and any other tools mentioned in the job description. You might get asked to solve a problem on the spot, so being sharp will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our awesome team at Lawhive.
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role at Lawhive. Highlight your experience with SQL, financial analytics, and any relevant tools like dbt or Hex. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how it can transform the legal industry. Let us know why you’re excited about joining Lawhive and how you can contribute to our growth.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Include examples of past projects where you’ve conducted analyses or built reports that influenced business decisions. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Lawhive!
How to prepare for a job interview at Lawhive
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like SQL, dbt, and any BI tools. Be ready to discuss your experience with these technologies and how you've used them to solve real-world problems.
✨Understand Financial Metrics
Brush up on key financial concepts such as gross vs net revenue and margin analysis. Being able to speak confidently about these topics will show that you can bridge the gap between data and finance effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical situations or past experiences. Think of examples where you've identified trends or anomalies in data and how those insights influenced decision-making.
✨Show Your Communication Skills
Practice explaining complex data findings in simple terms. You’ll need to demonstrate that you can communicate effectively with both technical and non-technical stakeholders, so be prepared to showcase this skill during the interview.