At a Glance
- Tasks: Lead data analysis to optimise pricing and monetisation strategies for growth.
- Company: Join Trustpilot, a high-growth FTSE-250 company on a mission to build trust.
- Benefits: Flexible working, competitive pay, 25+ days holiday, and rich learning opportunities.
- Other info: Collaborative culture with diverse perspectives and excellent career growth potential.
- Why this job: Make a real impact in a dynamic environment with a focus on data-driven decisions.
- Qualifications: Experience in data analysis, SQL, R/Python, and strong stakeholder management skills.
The predicted salary is between 59400 - 72600 £ per year.
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!
Data isn’t just a byproduct of our business; it’s the engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market strategy, driving growth across the customer lifecycle. You will lead the charge in analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact.
The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role, you’ll focus on empowering the Pricing & Monetization team while working cross-functionally across our commercial organization, and broader analytics and data teams.
What You’ll Be Doing
- Pricing & Monetization Analytics: Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviours and tracking the financial performance of new monetization initiatives.
- Advanced Statistical Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers.
- Tool & Capability Development: Build and scale our analytics infrastructure. This includes developing proprietary solutions in R/Python and integrating them into our data stack.
- Stakeholder Influence: Provide actionable insights to collaborate with, and influence stakeholders in making data informed decisions and drive data literacy around GTM optimization.
- Scalable Reporting: Architect intuitive dashboards in Looker that don't just show data, but provide actionable insights for stakeholders ranging from Commercial Ops to executive leadership.
- Data Engineering Collaboration: Work closely with our data engineering team using dbt to ensure our GTM data pipelines are robust, efficient, and "analyst-ready."
Who You Are
- A Proven Analytical Lead: You bring demonstrated experience successfully driving strategic GTM initiatives, establishing best-in-class analytical standards, and mentoring team members to elevate overall capabilities across the analytics function.
- A Technical Expert: You are fluent in SQL and R/Python and have a solid understanding of regression models, clustering, propensity and statistical significance with an ability to apply them to complex commercial and GTM problems.
- A Strategic GTM Thinker: You have several years of experience solving go-to-market problems using appropriate analytical techniques. You don't just build models; you understand the "why" behind the numbers. You understand core SaaS metrics and have experience evaluating pricing strategies, monetization models, or commercial packaging structures.
- A Trusted Advisor: You possess strong stakeholder management skills knowing how to challenge assumptions and guide leadership toward data-informed decisions.
- An Expert Communicator: You can explain complex solutions and models to a non-technical audience and present a compelling case for strategic optimization to executive leadership.
- Data Storytelling: You have proven experience with Looker (LookML) or similar BI tools, emphasizing best practices in data storytelling.
- A Data Architect: You have a high bar for data quality and have experience working within modern data stacks (e.g BigQuery, dbt, Airflow).
What’s In It For You
- A range of flexible working options to dedicate time to what matters to you.
- Competitive compensation package + bonus.
- 25 days holiday per year, increasing to 28 days after 2 years of employment.
- Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community.
- Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist.
- Pension and life insurance.
- Health cash plan, online GP, 24/7 Employee Assistance Plan.
- Full access to Headspace, a popular mindfulness app to promote positive mental health.
- Paid parental leave.
- Season ticket loan and a cycle-to-work scheme.
- Central office location complete with pop up events organised by our own community team as well as the building’s community team.
- Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials.
- Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more.
Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust.
Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.
Lead Data Analyst (Pricing & Monetization) employer: Trustpilot Italia
At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. With a strong focus on employee growth, we provide rich learning opportunities through the Trustpilot Academy, flexible working options, and a competitive benefits package that includes generous holiday allowances and wellness initiatives. Our central office location in London not only enhances connectivity but also hosts regular community events, making it an exciting place to build a meaningful career while contributing to our mission of becoming the universal symbol of trust.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst (Pricing & Monetization)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Lead Data Analyst (Pricing & Monetization)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Trustpilot Italia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trustpilot Italia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trustpilot Italia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trustpilot Italia!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.