Data Analyst (Growth/Marketing)

Lawhive; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A fast-growing startup in London seeks a data-driven analyst to support marketing efforts and enhance growth. This role involves analyzing customer journeys, developing data models, and collaborating with various teams to unlock growth opportunities. You'll thrive in a dynamic environment, leveraging extensive analytics to drive results.

Benefits

34 holidays (25 days annual leave + birthday off + bank holidays)

Equity (Share Options)

Pension

Regular team building activities

20% off legal fees

Qualifications

• 3-5+ years in a data analytics role focused on marketing or growth.
• Direct experience analyzing performance data within digital marketing platforms.
• Proven ability to drive business outcomes using data insights.

Responsibilities

• Own customer journey analysis and develop marketing data products.
• Build advanced models for marketing and predictive insights.
• Lead data-driven experimentation and A/B testing initiatives.

Skills

Analytical mindset

Attention to detail

Communication

Data-driven decision making

Collaboration

Tools

SQL

Google Analytics

Meta Ads

BI Tools (Hex, Tableau, Power BI)

Tracking tools (GA4, PostHog)

Job description

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.

About This Role

We're a fast-growing startup looking for a data-driven analyst to help build the foundations for our marketing engine as we scale. You will be a key member of our marketing and data team, fully dedicated to the Marketing team’s growth roadmap and using your expertise to grow top line revenues and guide commercial initiatives from our data.

You'll own the analysis of the end-to-end customer journey, using our data stack (BigQuery, dbt, Hex) to create data models, data products, metrics and find insights that fuel our growth. You’ll work closely with other engineers, marketers, product teams, and commercial teams to launch and measure high-impact initiatives.

This is a unique opportunity for someone looking to work in a fast-paced environment who likes to work autonomously, thrives when solving hard problems and wants to have individual and societal impact.

What You'll Do

Own Marketing Performance & Funnel Analysis

• Analyse the complete customer experience, from the first ad impression through product use to lifetime customer value.

• Develop and maintain core marketing data products, dashboards and reports that serve as the single source of truth for campaign and funnel performance.

• Using and evolving reporting, CRM, marketing, tagging and analytics tools, such as Google Analytics, Google Ads, Customer.io, Hex, Tag Manager, Posthog, Meta)

• Produce insights and measurements from customer performance data, identifying and prioritising the highest-impact opportunities for growth.

• Identify conversion bottlenecks across our key funnel stages and partner with cross-functional teams to resolve them.

• Investigate user behaviour, acquisition, retention, and monetisation proactively and ad-hoc.

Drive Strategy with Advanced Analytics & Modeling

• Go beyond standard reporting to deliver predictive and strategic insights.

• Build advanced models to address key business questions, including:

  • Marketing Mix & Attribution Modeling to optimise marketing budget allocation.

  • Predictive LTV Modeling to inform smarter bidding and acquisition strategies, alongside pricing and promotion.

  • Customer Segmentation to enable personalisation and operational efficiency.

  • Churn Prediction to power proactive retention campaigns.

• Present your findings and models in a clear, compelling way to senior leadership to influence strategic decisions.

Enable Data-Driven Experimentation

• Act as the analytical lead for our marketing testing program; you will inform the CRO strategy and A/B testing roadmap by sizing opportunities.

• Analyse and guide experiments across landing pages, acquisition funnels, and lifecycle campaigns to achieve statistical significance and clear results.

• Partner with Marketing and Product to ensure all requirements for robust tracking and measurement are implemented correctly.

• Champion a culture of rapid, data-driven experimentation, helping us scale our testing velocity and optimization processes.

About You

• 3-5+ years in a data analytics / data science role, ideally focused on marketing, product, or growth.

• 3-5+ years experience with data querying languages (SQL).

• Direct, hands-on experience analysing performance data within digital marketing platforms, especially Google and Meta Ads.

• A proven track record of using data to drive tangible business outcomes, such as conversion rate growth, improved ROI, or lower CAC.

• Exceptional attention to detail and rigour in how you approach analytical analysing and verifying data.

• Experience with tracking tools (GA4, PostHog/Mixpanel/Amplitude)

• Proven ability to thrive and deliver results in a fast-paced, high-growth environment.

• Proficiency with BI and reporting tools (i.e. Hex, Tableau, Power BI, Looker).

• Analytical mindset. You are comfortable drawing conclusions and making recommendations from data insights to move the business forward.

• Excellent communication skills and experience collaborating with technical and non-technical teams.

Bonus points

• Hands-on experience with dbt.

• Programming experience (Javascript, Python) or experience using data engineering tools

• Background in a consumer marketplace or another fast-growth startup.

• Experience helping to build a company's data or marketing analytics function from an early stage.

• Understanding of customer journey mapping and full-funnel analysis.

Benefits

️ 34 Holidays (25 days annual leave + your birthday off + bank hols in England)

Equity (Share Options)

Pension

️ Regular team building activities, socials, and annual retreat!

20% off legal fees through Lawhive