At a Glance
- Tasks: Lead data analysis for pricing and monetization, shaping revenue growth strategies.
- Company: Join Trustpilot, a high-growth FTSE-250 company on a mission to build trust.
- Benefits: Competitive salary, full-time role, and opportunities for professional development.
- Other info: Collaborative culture with excellent career advancement opportunities in London.
- Why this job: Make a real impact by transforming data into actionable insights for business growth.
- Qualifications: Experience in advanced analytics, SQL, R or Python, and B2B SaaS environments.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
Trustpilot is a profitable, high-growth FTSE-250 company with a clear mission: to become the universal symbol of trust. We operate the world’s largest open customer review platform. There is significant work ahead, and we seek dedicated talent to advance this mission. We are currently recruiting a Lead Data Analyst focused on Pricing & Monetization. This position is based in London and is a full-time opportunity offering a salary range of £70,000 to £90,000 per year.
This role owns the pricing and monetization analytics agenda. You will design tests, interpret outcomes, and translate complex findings into clear narratives for executives and partners. Your analysis will directly shape how Trustpilot grows revenue across the customer journey. You will operate within a semi-embedded GTM Analytics model, serving as a strategic partner to the Pricing & Monetization team while collaborating across commercial, analytics, and data engineering functions.
What You’ll Be Doing
- You will chart intake metrics to guide pricing experiments and define evaluation criteria for new monetization concepts. This involves constructing statistical models for customer behavior, including cohort analysis and clustering, to reveal strategic growth paths.
- You will review pricing architecture performance, document findings, and provide recommendations for commercial stakeholders.
- A core responsibility is shipping intuitive Looker dashboards that transform data into action for commercial operations and executive teams.
- You will partner with data engineering to harden dbt pipelines, ensuring GTM datasets remain robust, efficient, and analyst-ready.
- You will also build R and Python tooling that scales, integrating analytical solutions into our data stack with precision.
- You will guide stakeholders toward data-informed choices, improving GTM literacy and alignment across commercial functions.
- Tracking discount behavior and financial outcomes will be central, as you support product and commercial leadership with pricing insights.
Who You Are
You are a proven analytical lead with several years of experience solving go-to-market problems using advanced analytics in a B2B SaaS setting. You demonstrate fluency in SQL and R or Python, with hands-on experience in regression, clustering, and statistical significance. You have a strong track record of establishing analytical standards and mentoring analysts to elevate team capability.
You understand how to architect dashboards that deliver clear insights for diverse audiences, from operations to executive leadership. You collaborate effectively with data engineers to ensure pipelines are robust, efficient, and ready for analysis. A strategic GTM thinker, you use data to solve complex commercial challenges and influence decision-making.
Requirements
- A proven track record of driving strategic GTM initiatives through advanced analytics.
- Fluency in SQL and R or Python, with hands-on experience in regression, clustering, and statistical significance.
- A history of establishing analytical standards and mentoring analysts to lift team capability.
- The ability to architect dashboards for diverse stakeholders, from ops to leadership.
- Collaboration skills to ensure data pipelines are robust, efficient, and analysis-ready.
- Several years solving go-to-market problems using advanced analytics in a B2B SaaS environment.
Nice to Have
- Experience working with pricing, packaging, and monetization initiatives in a subscription environment.
Skills & Tools
- SQL, R, Python, Looker, dbt.
Practical Notes
This role is located in London and is a full-time position with a compensation range of £70,000 to £90,000 per year. Trustpilot helps people and businesses share and read reviews, using those experiences to build confidence in digital choices. Since 2007, the team has focused on making trust visible and practical in online interactions. You would work on features that shape how reviews are collected, displayed, and understood. The role involves collaborating across product and design to improve how users evaluate and connect with businesses.
Lead Data Analyst in London employer: CV in
Monzo is an exceptional employer that champions a culture of collaboration and innovation, making it an ideal place for professionals looking to make a meaningful impact in the financial sector. With a strong focus on employee growth, Monzo offers ample opportunities for career development and continuous learning, all while fostering a supportive remote work environment that values work-life balance. Join us in shaping the future of banking with a team that prioritises governance and accountability in a dynamic and inclusive setting.
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