PythonSQLData LakeAnalyticsLookerdbtGitGitHubGitLabBitbucketStrategic PlanningA/B TestingCommunicationRemote Work
About this role
Role Overview
Partner with Product, Marketing, Operations, and Engineering teams to analyse user and business data, delivering actionable insights and recommendations that inform strategy, prioritisation, and roadmap decisions
Collaborate with Product teams to design, execute, and evaluate A/B tests, supporting product optimisation and strategic planning
Maintain and improve statistical testing methodologies and experimentation practices
Develop efficient data models using dbt and integrate new data sources
Ensure that our data structure supports analytical and stakeholder needs
Work with data collected through our Snowplow event tracking to generate insights while respecting our privacy-friendly philosophy
Write optimised SQL queries and perform advanced data analytics, to support reporting, automation, experimentation, and performance tracking
Design, develop, and maintain dashboards and reports using Looker and Metabase to enable self-service, data-driven decisions
Ensure the delivery of accurate, reliable, and consistent data through robust governance, validation, and quality assurance processes
Collaborate effectively with cross-functional teams to communicate insights and promote a data-oriented mindset
Requirements
5+ years of experience working with data, including extracting and integrating data from multiple sources into a data warehouse or data lake
Solid business acumen and experience using data to inform strategic decisions
Advanced SQL skills; experience with Python is a plus
Effective communication skills, with the ability to translate complex analyses into actionable insights and business impact for executive and non-technical stakeholders
Solid understanding of analytical and statistical techniques such as churn modelling, regression analysis and A/B testing
Practical experience with querying and data visualisation tools e.g., Metabase
Understanding of modern data architecture and familiarity with data ingestion, storage, and transformation processes to convert raw data into insight-ready formats
Experience designing scalable data workflows and automating processes to improve data quality, reliability, and accessibility across the organisation
Experience with Git-based source code management (e.g., GitHub, GitLab, Bitbucket)
Fluency in English
Respect for privacy and awareness of data protection legislation in the EU, UK, and US
Tech Stack
Python
SQL
Benefits
Flexible working hours
30 vacation days per year
Designated Focus Times
Remote work options
Green benefits program including subsidized public transport cards and bike inspection services
Professional growth support through learning times, hack days, online and physical libraries, and continuous feedback