At a Glance
- Tasks: Lead marketing analytics to maximise ROI through advanced data analysis and strategic insights.
- 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: Inclusive culture with diverse perspectives and excellent career growth potential.
- Why this job: Make a real impact by shaping marketing strategies with data-driven insights.
- Qualifications: Fluency in SQL and R/Python, with strong analytical and communication skills.
The predicted salary is between 60000 - 80000 £ 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 independent consumer 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 Marketing Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for an accomplished professional who can bridge the gap between technical statistical modeling and strategic marketing execution. Your mission is to help us answer the ultimate question: "How do we spend our next dollar to maximize impact?" You will shape marketing triangulation, combining Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and rigorous incrementality testing to provide a 360-degree view of our ROI.
What You’ll Be Doing:
- Marketing Triangulation: Guide and own the methodology for measuring marketing effectiveness. You will move beyond surface-level metrics to develop a sophisticated "source of truth" using MMM, MTA, and lift studies.
- Advanced Data Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation, and predictive modeling to identify growth levers.
- Collaborative Experimentation: Partner with Marketing Leads to design, implement, and analyze A/B and multivariate tests, fostering a culture of "test and learn."
- Capability Development: Support and scale our analytics infrastructure. This includes developing solutions in R/Python and integrating them into our data stack.
- Stakeholder Influence: Provide actionable insights to help stakeholders make data-informed decisions and drive data literacy around marketing optimization.
- Actionable Reporting: Create intuitive dashboards in Looker that don't just show data, but provide actionable insights for stakeholders ranging from Channel Managers to the CMO.
- Funnel Strategy: Guide the analytical strategy for the end-to-end GTM funnel. Analyze the sales funnel to increase lead generation, accelerate conversion rates, and drive revenue expansion by identifying bottlenecks and opportunities for improvements.
- Data Engineering Collaboration: Work closely with our data engineering team using dbt to ensure our marketing data pipelines are robust, efficient, and reliable.
Who You Are:
- Highly Skilled Technician: You are fluent in SQL and R or Python and have a deep-rooted understanding of regression models, clustering, and statistical significance with an ability to apply them to marketing problems.
- Strategic Marketing Thinker: You have significant experience solving marketing problems using techniques such as MTA, MMM, and Incrementality testing. You don't just build models; you understand the "why" behind the spend.
- Trusted Advisor: You possess strong collaboration skills, knowing how to challenge assumptions and guide leadership toward data-informed decisions.
- Clear Communicator: You can explain complex statistical concepts to a non-technical audience and present a compelling case for budget optimization to executive leadership.
- Data Storytelling: You have proven experience with Looker (LookML) or similar BI tools, with a focus on making data accessible and easy to understand.
- Quality Focused: You have a commitment to data quality and 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 table tennis, a gaming corner, coffee bars and all the snacks and refreshments you can ask for.
- 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.
- Independent financial advice and free standard professional mortgage broker advice.
- Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career.
Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! 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.
Lead Data Analyst - Marketing Analytics employer: Trustpilot, Inc.
Contact Detail:
Trustpilot, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Marketing Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis and marketing strategies. We want you to feel confident and ready to showcase your skills!
✨Tip Number 3
Show off your data storytelling skills! Bring examples of how you've turned complex data into actionable insights. This will help you stand out as a candidate who can bridge the gap between numbers and strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Analyst - Marketing Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with SQL, R/Python, and any marketing analytics techniques like MTA and MMM. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and marketing. Share specific examples of how you've used data to drive decisions in previous roles. We love a good story!
Showcase Your Data Storytelling Skills: Since you'll be working with stakeholders, it's crucial to demonstrate your ability to communicate complex data insights clearly. Include examples of dashboards or reports you've created that made an impact. We want to see your storytelling prowess!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Trustpilot, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL, R, or Python, and can discuss your experience with regression models and statistical significance. Be prepared to explain how you've applied these skills to solve marketing problems, especially using techniques like MTA and MMM.
✨Showcase Your Strategic Thinking
During the interview, highlight your ability to connect data analysis with strategic marketing execution. Share specific examples of how your insights have influenced marketing decisions and led to measurable outcomes.
✨Communicate Clearly and Effectively
Practice explaining complex statistical concepts in simple terms. You’ll need to demonstrate that you can present your findings to non-technical stakeholders, so think about how you can make your data storytelling engaging and accessible.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration. Be ready to discuss how you’ve partnered with marketing leads to design and analyse A/B tests, and how you foster a culture of experimentation within your team.