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Company Description
Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch!
We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers.
All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values of, Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with.
Job Description
Welcome to the Analytics team at Gousto! Based at our London HQ, you will join us as an individual contributor reporting directly to our Analytics Manager. You will be embedded within a cross-functional tribe, partnering closely with product managers, engineers, and fellow analysts to influence key business choices and drive operational performance.
This is a fantastic opportunity to build the technical foundations of your data craft within a supportive, collaborative environment. In this role, you will work across the full analysis lifecycle, from data extraction and manipulation to advanced visualisation and communication, delivering clear insights that help expand our customer base and optimise day-to-day operations.
Core Responsibilities
- Deliver clear, accurate insights to defined requests from your tribe, working with your manager and senior peers to shape the approach
- Communicate findings clearly to both technical and non-technical stakeholders, tailoring the level of detail to the audience
- Contribute to the design and maintenance of dashboards that scale insight and enable proactive performance monitoring
- Investigate anomalies and trends in day-to-day performance, forming hypotheses and testing them against the data
- Build reusable, well-documented data models and code that other analysts can pick up and extend
- Actively seek and act on feedback to improve the quality of your work
- Understand how your work ladders up to your tribe's OKRs and align your priorities accordingly
- Contribute to Analytics knowledge sharing and improving ways of working
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Who You Are
- Brings a structured problem-solving approach and strong attention to detail
- Demonstrates clear written and verbal communication, including the ability to explain analysis to non-technical stakeholders
- Shows a genuine interest in the commercial context behind the data — understanding what a metric means for the business, not just how to calculate it
- Feels comfortable writing SQL to extract, transform and interrogate data in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery or similar
- Experience presenting data through a BI tool such as Looker or Tableau as a plus
- Maintains familiarity with web or product analytics platforms like GA4, Mixpanel, or Amplitude, and understands how event data supports decision-making as a plus
- Possesses a curious, learning mindset, actively seeking feedback and motivated to grow both technical and stakeholder skills
- Enjoys collaborating across cross-functional teams of product managers, engineers and other analysts
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Additional Information
Interview Process
- Video Call with a Talent Acquisition Partner
- Video Interview with Hiring Manager
- Case Study/Task Interview
Gousto is for everyone:
Whether it’s creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto. Across our business we lead with inclusivity and strive for equality in all we do; working hard to ensure Gousto is an environment where you can be totally yourself.
Everyone is welcome and we’re looking for applications from people of all backgrounds and experiences.
Excited but wondering if you tick every box? We recommend applying anyway so that we can review your profile. And, if you’re in a job share, why not just apply as a pair.
For our roles outside of Operations, most of our people spend 1 or 2 days in our offices every week, combining the benefits of flexibility and time together with colleagues. We want to enable you to do your best work, and if you require additional flexibility, please talk to us about it.
If you have a disability that you’re worried will affect you during the interview process, please let us know, and we will do our best to help you feel comfortable.
We’d love it if you could submit your application online. If you require an alternative method of applying, please let us know.
Employee Type: FTE - Full Time
Division: Data
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