Data Analyst - Trust
Role details
Job location
Tech stack
Job description
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 behavior. 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
Requirements
Do you have experience in SQL?, * 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