At a Glance
- Tasks: Analyse data to uncover insights and support regulatory compliance at Trustpilot.
- Company: Join Trustpilot, a high-growth FTSE-250 company on a mission to build trust.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with global teams and work with cutting-edge analytical tools.
- Why this job: Be part of a diverse team making a real impact on consumer trust.
- Qualifications: Experience in data analysis, SQL, and BI tools like Looker.
The predicted salary is between 40000 - 50000 € 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!
Trustpilot’s growth has been exponential - from a successful IPO to building out new teams, we never stop working hard to fulfil our mission to create better experiences for everyone through our platform. But to do that, we need data! That’s where Analytics comes in - you’ll help us measure, uncover insights, and predict, to get data everywhere in Trustpilot.
We’ve built a world-class analytics team that spans two continents and four cities - are you ready to join a fun, diverse global team? Trustpilot is on a mission to create better experiences for everyone through our platform. But to do that, we need to protect the integrity of our community and deeply understand how our consumers perceive trust.
This team is the guardian of our platform. They use data to stay one step ahead of bad actors, working with the teams that build the models and detection systems that identify fake reviews and ensure Trustpilot remains a universal symbol of integrity. It is a huge part of what we do at Trustpilot - it’s in the name! We need to ensure that the content on our platform is real content from real people. That means eliminating scam and spam, and identifying fraudulent behaviour.
We have several cross-functional teams devoted to Trust. You’ll be tightly aligned to their goals, helping teams such as Content Integrity, Legal & Compliance, Corporate Comms & Investor Relations, Fraud & Investigations to investigate requests on fraudulent activity, prepare various reports including core publicly shared company and regulatory reports.
As a Data Analyst at Trustpilot, you will collaborate with Trusties in our Trust, Comms and Marketing teams and spend your time digging through our data to provide them with data-driven insights, as well as analytics and dashboards/reporting. You’re keen to help them use data to answer their toughest questions, and you can proactively identify areas that need a little data support. You’ll be an internal data consultant, with loads of amazing data in our data warehouse at your fingertips, working with analytical tools including BigQuery and Looker.
What you’ll be doing:
- Be the main contact point for all regulatory and compliance reporting
- Delivering expert analytics and insights to different parts of the business, through both workstream-driven initiatives and ad-hoc inquiries
- Building data sets and dashboards that support our Trust data integrity and auditability requirements
- Picking the right solution for the problem you’ve got, from your arsenal of analytical tools and methods
- Working closely with the Comms, Investor Relations, Marketing, Compliance or Trust teams to understand their data requests and their goals to deliver awesome solutions
- Presenting and promoting your work to the wider business, to enable data-informed decision making
- Scoping and documenting projects
- Standardising and automating key reports ensuring integrity, governance and data quality
Who you are:
- Knowledge of reporting best practices and experience delivering actionable insights leveraging BI tools (we use Looker)
- Experience in stakeholder and project management, with the confidence to deliver results back to the business
- Advanced SQL skills (we use BigQuery)
- Data modelling experience: DBT or similar tools used for building data pipelines
- Experience with Python is desirable
- Familiarity of key analytical and statistical methodologies, such as model-based analyses (regression, clustering etc.), cohort analysis
- Familiarity with Airflow
- Familiarity with A/B testing
- Outstanding written and verbal communication skills
Data Analyst - Trust in London employer: Trustpilot
At Trustpilot, we pride ourselves on being a dynamic and innovative employer that champions a culture of collaboration and growth. Our diverse global team thrives in an environment where data-driven insights are valued, and employees are empowered to make impactful contributions to our mission of fostering trust. With opportunities for professional development and a commitment to maintaining a positive work-life balance, Trustpilot is the ideal place for those looking to build a meaningful career in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Trust in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Trustpilot on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the analytics team. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data analysis projects, especially those that demonstrate your ability to deliver actionable insights. When you get the chance to chat with someone from Trustpilot, share your work and how it relates to their mission of trust.
✨Tip Number 3
Be proactive! If you see a problem or an area where data could improve processes at Trustpilot, mention it during interviews. This shows you're not just looking for a job; you're eager to contribute to their mission of creating better experiences through data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Trustpilot team. Don’t miss out on this opportunity!
We think you need these skills to ace Data Analyst - Trust in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role at Trustpilot. Highlight your experience with SQL, BI tools like Looker, and any relevant projects that showcase your analytical skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can help Trustpilot maintain its integrity. Be sure to mention specific experiences that align with our goals.
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Include examples of how you've delivered insights or solved problems using data. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Trustpilot!
How to prepare for a job interview at Trustpilot
✨Know Your Data Tools
Make sure you brush up on your skills with BigQuery and Looker. Be ready to discuss how you've used these tools in the past to deliver insights or solve problems. Having specific examples will show that you're not just familiar with them, but that you can leverage them effectively.
✨Understand Trustpilot's Mission
Dive deep into Trustpilot’s vision of becoming the universal symbol of trust. Familiarise yourself with their platform and think about how data integrity plays a role in that mission. This will help you align your answers with their goals during the interview.
✨Prepare for Stakeholder Scenarios
Since you'll be working closely with various teams, think of examples where you've successfully managed stakeholder expectations or delivered results. Be ready to discuss how you approach understanding different teams' data needs and how you’ve provided actionable insights in the past.
✨Showcase Your Communication Skills
As a Data Analyst, you'll need to present your findings clearly. Prepare to explain complex data concepts in simple terms. Practise articulating your past projects and insights, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.