Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
About the role
- Analytics Engineer at UK's premier publisher assisting data-driven insights for customer understanding. Bridging gap between data engineering and analytics with clean, reliable data access.
Responsibilities
- Build and maintain data models and pipelines within our GCP data environment to make data accessible, reliable, and usable for analysts and stakeholders
- Collaborate with Merkle engineers (who maintain our GCP-based data lake) to ensure data lake architecture supports evolving analytical and reporting needs
- Work with analysts to understand their data requirements, designing scalable solutions that support dashboards, customer metrics, and campaign analytics
- Support advanced analytics projects, including RFM scoring, customer segmentation, and predictive models that help inform marketing and retention strategies
- Optimise data workflows to improve performance, reduce duplication, and support self-serve analytics through tools like Looker and our CDP, ActionIQ
Requirements
- At least 2–4 years of experience in a data or analytics engineering role
- Proficient in SQL and experienced working with large datasets within GCP (BigQuery) or similar cloud environments
- Experience with Python for data transformation and automation
- Experience with code management, review and reversion using GitHub
- Comfortable collaborating with both analysts and engineers, translating business needs into robust technical solutions
- Familiarity with Looker (or another BI tool) and an understanding of how to structure data for efficient dashboarding and self-serve analytics
- Exposure to customer analytics concepts such as segmentation, LTV, churn, and RFM analysis is a plus
- An interest in predictive analytics or data science (experience in predictive modelling or machine learning would be a bonus)
- Strong communicator who enjoys helping others make the most of data
Benefits
- Health insurance through Specsavers eye care
- Company-funded Health Cash Plan
- Access to mental health support
- Discounted gym memberships
- Cycle to Work scheme
- Location Flex
- Holiday Exchange for taking time off
- Charity Day for community involvement
- Wellbeing resources access
- Workplace Pension for future savings
- Income Protection and Life Assurance for financial security
- Season Ticket Loan for easier commuting
- Major discounts across London and savings via HAPI at Hearst app
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