At a Glance
- Tasks: Analyse data to support compliance and enhance trust for our platform.
- Company: Join a global leader in consumer trust with a commitment to inclusivity.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by driving insights that shape business decisions.
- Qualifications: Experience with BI tools, SQL, and strong communication skills required.
The predicted salary is between 35000 - 45000 £ per year.
We’re looking for a Data Analyst to support our regulatory duty and protect trust for our platform and consumers. Your work will involve collecting, analyzing, and reporting data that drives insights for Trust, Compliance, and other cross‑functional teams.
What you’ll be doing:
- Be the main contact point for all regulatory and compliance reporting
- Deliver expert analytics and insights to different parts of the business, through both workstream‑driven initiatives and ad‑hoc inquiries
- Build data sets and dashboards that support our Trust data integrity and auditability requirements
- Pick the right solution for each problem from your arsenal of analytical tools and methods
- Work closely with the Comms, Investor Relations, Marketing, Compliance or Trust teams to understand their data requests and goals, then deliver effective solutions
- Present and promote your work to the wider business, enabling data‑informed decision making
- Scope and document projects
- Standardise and automate key reports to ensure 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 with key analytical and statistical methodologies, such as model‑based analyses (regression, clustering, etc.) and cohort analysis
- Familiarity with Airflow
- Familiarity with A/B testing
- Outstanding written and verbal communication skills
Equal Opportunity & Accessibility
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.
Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com).
Data Analyst - Trust employer: Trustpilot, Inc.
At Trustpilot, we pride ourselves on being an excellent employer that fosters a culture of inclusivity and collaboration. As a Data Analyst, you will have the opportunity to work with cutting-edge analytical tools in a dynamic environment that values your insights and contributions, while also offering robust professional development opportunities. Our commitment to employee growth, coupled with our global presence and focus on trust, makes Trustpilot a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Trust
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Trustpilot. A friendly chat can open doors and give you insights that might just help you land that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL or BI tools like Looker. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your analytical methodologies. Be ready to discuss how you've used techniques like regression or cohort analysis in past projects. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our Trustpilot family.
We think you need these skills to ace Data Analyst - Trust
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with BI tools, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our Trust team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission at StudySmarter. Don’t forget to mention your familiarity with compliance and regulatory reporting.
Showcase Your Analytical Skills:In your application, include specific examples of how you've used data to drive insights in previous roles. Whether it's through dashboards or reports, we want to see your problem-solving prowess and how you’ve made data-informed decisions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Trustpilot, Inc.
✨Know Your Tools
Make sure you're familiar with the analytical tools mentioned in the job description, especially Looker and BigQuery. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Insights
Prepare to present examples of how your data analysis has driven decision-making in previous roles. Think about specific instances where your insights led to actionable outcomes, and be ready to explain your thought process.
✨Understand the Business Needs
Research Trustpilot and its various teams. Understand their goals and how your role as a Data Analyst can support them. This will help you tailor your responses and show that you're genuinely interested in contributing to their success.
✨Communicate Clearly
Since outstanding communication skills are crucial for this role, practice explaining complex data concepts in simple terms. Be prepared to discuss how you would present your findings to non-technical stakeholders effectively.
