Lead Data Analyst - Marketing Analytics in London

Lead Data Analyst - Marketing Analytics in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Trustpilot

At a Glance

  • Tasks: Lead marketing analytics to maximise impact and drive growth through data-driven 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: Dynamic culture with regular team events and a focus on diversity and inclusion.
  • Why this job: Make a real impact by shaping marketing strategies with advanced data analysis.
  • Qualifications: Fluency in SQL and R/Python, with strong marketing analytics experience.

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!

Lead Data Analyst - Marketing Analytics in London employer: Trustpilot

At Trustpilot, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions flexibility and personal growth. With competitive compensation, generous holiday allowances, and a commitment to employee well-being through initiatives like paid volunteering days and access to mental health resources, we empower our team members to thrive both professionally and personally. Join us in our central office, where collaboration and innovation flourish, and take advantage of our rich learning opportunities to accelerate your career in a supportive environment.

Trustpilot

Contact Details:

Trustpilot Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Analyst - Marketing Analytics in London

Tip Number 1

Network like a pro! Reach out to current employees at Trustpilot on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.

Tip Number 2

Prepare for the interview by brushing up on your SQL and R/Python skills. Be ready to discuss how you've used these tools in past projects, especially in marketing analytics. Show them you’re not just a techie but a strategic thinker too!

Tip Number 3

Don’t forget to showcase your data storytelling skills! Bring examples of dashboards or reports you've created that turned complex data into actionable insights. This will highlight your ability to communicate effectively with stakeholders.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Trustpilot team. Let’s make this happen!

We think you need these skills to ace Lead Data Analyst - Marketing Analytics in London

SQL
R
Python
Regression Models
Clustering
Statistical Significance
Multi-Touch Attribution (MTA)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Analyst. 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! Share your passion for data and marketing, and explain how you can help us maximise our impact. Don’t forget to mention specific projects or achievements that showcase your expertise.

Showcase Your Data Storytelling Skills:We love candidates who can make complex data accessible. Include examples of how you've used tools like Looker to create intuitive dashboards or reports. Show us how you can turn numbers into actionable insights!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to hear from you!

How to prepare for a job interview at Trustpilot

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 ready to explain how you've applied these skills to solve marketing problems, especially using MTA and MMM.

Showcase Your Strategic Thinking

Prepare examples of how you've used data to inform marketing strategies. Think about specific instances where your insights led to significant decisions or changes in budget allocation. This will demonstrate your ability to bridge technical analysis with strategic execution.

Communicate Clearly and Effectively

Practice explaining complex statistical concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to tell a compelling story with your data is crucial. Use visuals if possible to make your points clearer.

Be Ready for Collaborative Scenarios

Expect questions about how you work with cross-functional teams, especially in designing A/B tests or implementing analytics solutions. Share experiences that highlight your collaboration skills and how you’ve fostered a culture of 'test and learn' in previous roles.