Analytics Engineer Technology · London · Hybrid
Oddbox
Analytics Engineer
We're fighting the good fight against food waste, one Oddbox at a time. To do this we need purpose-driven, passionate people to join our growing team.
We usually respond within a week
Location: Hybrid – minimum 2 days/week at our London office at The Food Exchange in Vauxhall
Contract type: Permanent, full-time (Monday–Friday)
Salary: £55,000–£63,000 based on experience
Eligibility: UK-based applicants only – we are unable to offer visa sponsorship at this time
About Oddbox
Oddbox is on a mission to tackle food waste – one of the most solvable climate challenges, responsible for nearly five times the emissions of the aviation sector. Through our subscription service, we’ve already rescued over 50 million kilograms of fruit and veg that would otherwise have gone to waste.
Join us to create even greater impact and inspire more people to fight food waste – one curvy cucumber at a time.
The Role
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.
This role is perfect for someone who loves solving complex data problems, brings rigour to analytics, and thrives in a mission-driven environment.
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.
Key Responsibilities
🍏 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.
Required Skills
🍉 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.
Required Experience
🍉 Commercial BI engineering experience.
🍉 Commercial data analysis experience.
🍉 Experience implementing and improving integrated BI platforms.
Mindset & Behaviours
🍇 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.
Nice to Have
🍍 Experience with Looker / LookML.
🍍 Experience in direct-to-consumer, subscription e-commerce.
🍍 Experience in mission-driven businesses with strong customer communities.
🍍 Experience in supply-chain–centric or startup/scaleup environments.
Why Join Us
🥝 Be part of a passionate, purpose-driven team working to tackle food waste – one of the most solvable climate challenges.
🥝 Drive real impact across a sustainability-focused, tech-powered business.
🥝 Shape data architecture, insights, and automation that directly influence our growth and operational efficiency.
Our company benefits include:
🥝 33 days’ annual leave (including bank holidays), plus four "not-sick" days and two volunteering days each year.
🥝 £300 personal development budget, peer-to-peer learning opportunities, wellbeing support through YuLife, and coaching via More Happi.
🥝 Discount on Oddbox products.
How to Apply
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.
Apply now and help us make every box count.
- Department
- Technology
- Locations
- London
- Remote status
- Hybrid
Perks & Benefits
- An exciting opportunity to be part of a sustainable challenger brand at a time where we are scaling rapidly, helping reduce food waste one carrot at a time.
- 33 days holiday per year (incl. Bank Holidays)
- 4 'Not-Sick' Days per Year
- Access to Health Cash Plan
- Cycle to Work Scheme
- Learning & Development Budget
- 2 days Volunteering Allowance per year
- Discount on Oddbox fruit and veg
- Employee perks via Perkbox & Charlie HR
- Flexible Working Hours
About Oddbox
Oddbox is a community-powered weekly rescue mission to save delicious, fresh fruit and veg which is deemed ‘too big’, ‘too ugly’, the ‘wrong colour', or simply ‘too many’ from going to waste. We deliver our boxes directly from the growers to people’s doorsteps across the UK.
With food waste being a major contributor to greenhouse gas emissions, Oddbox is building a community that together can play its part in fighting food waste and tackling climate change. We're a proud B Corp and have delivered over ten million boxes since we launched in 2016.
Analytics Engineer
We're fighting the good fight against food waste, one Oddbox at a time. To do this we need purpose-driven, passionate people to join our growing team.
Already working at Oddbox?
Let’s recruit together and find your next colleague.