How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Frive
At Frive, we’re redefining what food should be – real, wholesome and made without artificial stuff, because your body deserves better than the ultra-processed products that flood supermarket shelves.
Our mission is simple: to fuel you with real nutrition that supports your health and vitality – not just for today, but for the long run.
About the Role
Frive is a fast-growing meal kit subscription business in London. The Data Analyst will own the reporting and forecasting the business runs on each week.
The postholder will work alongside the Senior Data & Analytics Manager, who leads the team and owns Looker, while taking full ownership of forecasting and operational reporting. This work feeds directly into what Frive cooks, what it buys, and what lands in customers' boxes each week.
Frive builds a lot of its own internal tools rather than waiting on engineering, so there is plenty of room to experiment with how problems get solved.
Key Responsibilities
Forecasting & Reporting
- Own the weekly forecasting and cutoff process end to end.
- Maintain and extend automated data pipelines that keep reporting tables up to date.
Menu, Production & Margin Analysis
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Support menu and production decisions with analysis of menu allocation, production variance, and meal-level margin.
- Run the analysis behind changes to the meal assignment algorithm, covering margin and efficiency impact.
Data Infrastructure & Self-Serve Analytics
- Build and scale the Looker instance to support a self-serve analytics culture across the business.
- Identify, develop, and implement new approaches and processes across the business.
Cross-Functional Collaboration & Communication
- Collaborate closely with teams such as Menu Planning, Procurement, Ops, and Finance.
- Communicate findings in a way that is simple, clear, and actionable.
Candidate Profile
Experience & Credibility
- Writes solid SQL and is comfortable working with large datasets, debugging complex queries, and thinking about how data models fit together; this is the one skill the team can't be flexible on.
- Has used a BI tool like Looker or Tableau to build dashboards people actually use.
- Bonus: has built things beyond dashboards, such as a Streamlit app or a Python script, to solve a problem.
Personal Attributes
- Comfortable with ambiguity and messy operational data.
- Curious about the business itself, not just the numbers; the best analysis here comes from understanding how the kitchen, the menu, and the supply chain actually work.
- Proactive and excited to shape how the business uses data.
- Doesn't need to tick every box on this list, or hold a specific degree; mindset, skills, and willingness to learn matter more.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Competencies & Style
- Can explain analysis to people who don't work with data, in a way they can act on.
- Comfortable working in a fast-moving, collaborative team where things can change quickly.
Knowledge & Skills
- Strong SQL skills, with the ability to debug complex queries and reason about data models.
- Practical experience with BI tools (e.g. Looker, Tableau) for dashboard-building.
What Success Looks Like
- A weekly forecasting and cutoff process that runs smoothly and reliably.
- Menu, production, and margin analysis that directly informs what gets cooked and bought each week.
- A scaled Looker instance supporting genuine self-serve analytics across the business.
- Clear, actionable findings that non-technical teams can act on with confidence.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location