Analytics Engineer, Oddbox

• This role is perfect for someone who loves solving complex data problems, brings rigour to analytics, and thrives in a mission-driven environment
• Advanced SQL, DBT, and Python for data manipulation and statistical analysis
• Strong understanding of data architecture and modern data stack design
• Experience performing code review and contributing to shared standards
• Hands-on experience with modern cloud data warehouses (e.g., Snowflake or similar)
• Strong data visualisation skills, including building impactful dashboards and semantic models to support self-serve analytics
• Solid grounding in inferential statistics and A/B test design & interpretation
• Ability to write well-tested, high-quality code and implement data quality checks
• Excellent communication skills – able to translate complex analytical findings for non-technical audiences
• Strong cross-functional collaboration skills
• Commercial BI engineering experience
• Commercial data analysis experience
• Experience implementing and improving integrated BI platforms
• Proactive & growth-oriented – keen to learn new tools, seek feedback, and continuously improve
• Critical thinker – comfortable questioning assumptions and clarifying analytical requirements
• Autonomous problem-solver – able to structure and manage analytical tasks independently
• If you're motivated by ambitious growth and want to use your technical skills to tackle one of the most solvable climate challenges, we’d love to hear from you

Desirable

• We’re looking for a Mid-Level Analytics Engineer to help us turn raw data into meaningful business value
• You’ll build robust, efficient data models, develop advanced analytical outputs, and create the insight that powers decisions across the business
• You’ll be working within our modern data stack, where Fivetran and Airbyte handle data ingestion from our various SaaS and database sources
• All raw data is centralised in Snowflake, then modelled and transformed using DBT. Finally, Looker serves as our visualisation and reporting layer for users within Oddbox
• Own and deliver data modelling and analytical tasks, ensuring quality, relevance, and meaningful business impact
• Contribute to end-to-end data project delivery, from planning through to execution
• Lead deep-dive analysis into customer journeys and user flows using statistical methods (e.g., logistic regression, RFM analysis)
• Automate reporting and optimise data pipelines, reducing manual effort and improving performance
• Resolve data quality incidents and support debugging of broader pipeline issues
• Partner with Finance, Product, and Marketing teams to guide commercial and strategic decisions

• We usually respond within a week