At a Glance
- Tasks: Lead data analysis for pricing and monetization strategies to drive growth.
- Company: Join Trustpilot, a profitable 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 regular team events and access to exclusive discounts.
- Why this job: Make a real impact in a high-growth environment with innovative analytics.
- Qualifications: Proven analytical skills, expertise in SQL and R/Python, and strong stakeholder management.
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!
About the Role
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 Saa S 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 behaviors 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 Saa S 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 (Look ML) 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 Big Query, 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.
- LI-MG1
Lead Data Analyst (Pricing & Monetization) in Edinburgh employer: Trustpilot
Trustpilot is an exceptional employer, offering a vibrant work culture that prioritises collaboration and innovation within the Trust and Safety department. With flexible working options, competitive compensation, and rich learning opportunities through the Trustpilot Academy, employees are empowered to grow and thrive in their careers. The central London location fosters a dynamic environment, complete with engaging office amenities and regular team events, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analyst (Pricing & Monetization) in Edinburgh
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Trustpilot!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Analyst (Pricing & Monetization) at Trustpilot.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trustpilot.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Analyst (Pricing & Monetization) at Trustpilot, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Analyst (Pricing & Monetization) in Edinburgh
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trustpilot, 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. 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
✨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!
✨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.
