Job Description

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

As much as 2.5 billion tonnes of food are wasted globally every year - which plays a big part in the climate crisis. We're on a mission to change that, with rescued fruit and veg from hard-working growers as well as plastic-free ingredients and brands that do good for the planet.With fruit, veg and more delivered right to your door, we're working towards a fairer food system - one where growers are supported and paid fairly, where produce doesn't have to look 'perfect' and, most importantly, a food system where we never waste taste. No more unnecessary air miles or plastic - just delicious food that fights waste with every box.

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.