Senior Product Data Analyst

About Us

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.

Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.

1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to$100M+ in ARR , with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.

We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.

Joining Legora means three things.

• We lean in: ownership over titles, outcomes over intentions.

• We fight for excellence: high standards, direct, ego-free feedback.

• Wegrow together: as a team and with our customers.

Mission before ego. Everyone contributes. No one coasts.

If you’re driven by impact, pace, and raising the bar. This is the place.

The role:

As a Senior Product Data Analyst you will be instrumental in driving product decisions through data at Legora. You will analyse user behaviour, measure product performance, and uncover insights that shape our product roadmap. Whilst this is a full-stack data role where you'll build and maintain the analytical infrastructure needed to support your work, the primary focus is on delivering actionable insights that help us build better products for lawyers.

This is a key role that sits at the intersection of product, analytics, and engineering — translating complex data into clear recommendations that drive product strategy. Your work will directly influence how we prioritise features, optimise user experience, and scale our platform.

What you will be doing:

• Analyse product usage patterns, user behaviour, and feature adoption to identify opportunities for improvement and growth.

• Partner closely with Product Managers and designers to define success metrics, design experiments, and measure impact of product initiatives.

• Build and maintain dashboards and automated reporting systems that enable self-service analytics across the product organisation.

• Conduct deep-dive analyses to answer critical product questions and inform strategic decisions.

• Design, build, and maintain data pipelines and data models to support product analytics and reporting needs.

Who you are

• Solid experience in a product analytics, data analyst, or analytics engineering role, ideally in a product-led or SaaS environment.

• Strong analytical skills with the ability to translate ambiguous questions into structured analyses and clear recommendations.

• Proficient in SQL and experienced with modern BI tools; familiarity with Python, dbt, and cloud data warehouses like Snowflake is a plus.

• Understanding of data modelling, ELT best practices, and building analytical systems that are reliable and scalable.

• Experience designing and analysing A/B tests and other product experiments.

• A collaborative, curious mindset with excellent communication skills and the ability to influence product decisions through data storytelling.

• But most importantly, you are someone who

  • “Gets stuff done” and understands building a $10bn company isn’t always glamorous and takes hard work and long hours

  • Strives in a fast-paced environment where the answers aren’t always clear and processes are few

Legora is an Equal Opportunity Employer

At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.