At a Glance
- Tasks: Analyse data to drive business decisions and build impactful reporting tools.
- Company: Join Galeta, a fast-growing bakery supplying premium bakes to top UK brands.
- Benefits: Competitive salary, performance bonus, and employee benefits in a dynamic environment.
- Other info: Office-based role in Farringdon with opportunities for career growth.
- Why this job: Shape key business decisions and see the real impact of your work.
- Qualifications: 2-5 years in data analysis, strong SQL skills, and experience with BI tools.
The predicted salary is between 35000 - 45000 £ per year.
If, after reading the role description below, you’d like to apply, please send your CV and a cover letter to hiring+ explaining why this role and why now. We’re far more interested in clarity of thought, ambition and judgement than perfectly polished applications. No agencies, please.
About Us
Galeta is not a typical bakery. We're one of the UK's fastest-growing wholesale bakeries, supplying handmade, premium bakes to some of the most recognisable names in food and culture, from Selfridges and Tate to London's best independent cafés, coffee roasters and hospitality groups. We move at pace, decisions get made daily, and we need someone who can keep up, turning data into answers quickly without sacrificing rigour. That's where you come in as Business Data Analyst. You will be the person teams across the company turn to when they need to understand what's happening and your outputs will shape decisions that move the business.
This is a business-critical role, which means very occasionally you may need to be reachable outside core hours, for example if a key report fails ahead of a Monday leadership meeting, or during a major incident. It's the exception rather than the rule, and we're respectful of people's time outside work.
What You'll Be Doing
- Analysis and reporting
- Investigate business questions using SQL, spreadsheets, and BI tools, often on tight turnarounds
- Build and maintain dashboards that teams rely on day-to-day
- Run deep dives that explain not just what happened, but why, and what to do about it
- Define and track the KPIs that matter, and raise the flag early when something's off
- Communicate findings clearly and confidently, whether in a Slack message or a board deck
- Building internal tools
- Design spreadsheets, models, and self-serve tools that teams across the business depend on (forecasts, trackers, scorecards, calculators)
- Build them to last: protected formulas, clear inputs, sensible defaults, graceful failure
- Maintain and iterate as the business changes
- Spot when a spreadsheet has outgrown itself and push for a proper solution
- Stakeholder partnership
- Work directly with senior management team scoping requests, pushing back on vague briefs, and making sure analyses answer the real question
- Translate findings into recommendations non-technical colleagues can act on immediately
- Train and support teams in using the tools and dashboards you build
- Become the trusted data partner for the business
- Technical work
- Write clean, well-documented SQL queries against our Sage200 ERP database, our primary source of business data
- Help maintain data quality by flagging issues, validating outputs, and contributing to documentation
What We're Looking For
- 2 to 5 years in a data analyst or comparable analytical role, ideally in a fast-paced environment
- Strong SQL, comfortable with joins, window functions, CTEs, and writing queries others can read
- Strong spreadsheet skills, including building tools others use, not just analysing data yourself
- Hands-on experience with at least one BI tool
- A track record of delivering insights that drove real decisions (examples welcome)
- Good judgement under pressure: knowing when to dig deeper, when to ship a "good enough" answer, and when to push back
- Comfortable owning your work and being accountable for it
Nice to Have
- Experience working with ERP systems, particularly Sage 200
- Experience within food manufacturing, FMCG or hospitality
- Knowledge of forecasting, statistical analysis or experimentation
- Familiarity with Google Workspace
Why Join Galeta?
- Work directly with senior leadership and influence key business decisions
- Build tools and reporting that genuinely shape how the business operates
- Be part of a fast-growing company where your work has visible impact
- Competitive salary plus a range of employee benefits
- Company performance bonus
The Details
- Full-time, permanent position
- Office-based from our Farringdon headquarters
- Right to work in the UK required
Business Data Analyst in London employer: Galeta
Galeta is an exceptional employer for a Business Data Analyst, offering a dynamic work environment in the heart of Farringdon. With a focus on employee growth and a culture that values clarity of thought and ambition, you will have the opportunity to influence key business decisions and see the tangible impact of your work. The company provides competitive salaries, performance bonuses, and a supportive atmosphere where your contributions are recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Galeta. A friendly chat can go a long way in making you memorable when it comes to hiring decisions.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio of your best data analysis projects. When you get the chance to chat with someone from the team, share how you've turned data into actionable insights.
✨Tip Number 3
Be ready for a quick-fire interview! Galeta values clarity and judgement, so practice explaining your thought process on data problems. Keep it concise but insightful!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Galeta team.
We think you need these skills to ace Business Data Analyst in London
Some tips for your application 🫡
Be Clear and Concise:When crafting your CV and cover letter, clarity is key! We want to see your thoughts laid out simply and effectively. Avoid jargon and get straight to the point about why you're a great fit for this role.
Show Your Ambition:Let us know what drives you! In your cover letter, share your passion for data analysis and how it aligns with our fast-paced environment. We love seeing candidates who are eager to make an impact.
Highlight Relevant Experience:Make sure to showcase your experience with SQL, spreadsheets, and BI tools. We’re interested in real examples of how your insights have influenced decisions in previous roles. Don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Galeta
✨Know Your Data Tools
Make sure you brush up on your SQL skills and any BI tools you've used. Be ready to discuss specific queries you've written or dashboards you've built. This role is all about turning data into insights, so showing your technical prowess will definitely impress.
✨Prepare Real-World Examples
Think of concrete examples from your past work where your analysis led to significant business decisions. Be prepared to explain the situation, your approach, and the outcome. This will demonstrate your ability to deliver insights that drive real change.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your analysis to non-technical colleagues, so being able to communicate clearly and confidently is key. Use examples from your experience to show how you've done this before.
✨Show Your Problem-Solving Skills
Be ready to discuss how you've tackled ambiguous requests or tight deadlines in the past. This role requires good judgement under pressure, so sharing stories that highlight your ability to push back on vague briefs or deliver 'good enough' answers will resonate well.
