At a Glance
- Tasks: Analyse and manage supply chain data to drive strategic decisions and operational efficiency.
- Company: Join McWin, a leading investment advisory firm in foodservice and food technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with exposure to high-profile investments and career advancement.
- Why this job: Make a real impact on the food industry while developing your analytical skills.
- Qualifications: Experience in data analysis and financial modelling; proficiency in data visualisation tools.
The predicted salary is between 36000 - 60000 £ per year.
McWin is a private investment advisory firm dedicated to the foodservice and food technology sectors. The firm and its affiliates currently advise more than ~€1bn AUM across two strategies, foodservice and food technology. Our funds’ notable investments within foodservice include Gail’s, Flat Iron, Sticks’n’Sushi, Big Mamma Group, L’Osteria, Burger King and Popeyes. Within food technology our funds have investments in The Every Company, CookUnity, Oishii and Ecorobotix. The McWin team is comprised of veterans of the foodservice sector (including the two Founding Partners of the Firm) and experienced private equity professionals.
The Data Analyst role is critical in helping McWin structure and operationalise Supply Chain data across our portfolio companies to directly inform value creation strategies, operational efficiency programs, and investment decisions.
Key Responsibilities:- Data Platform Development & Management: Configure and maintain McWin’s internal data platform to consolidate information from portfolio companies, supply chain partners, commodity indices, and logistics providers. Define taxonomy and category structures to enable consistency and comparability across portfolio data. Design and manage the data submission process, including templates, timelines, and coordination with relevant stakeholders across the portfolio. Extract, clean, and structure raw or incomplete datasets, often directly from portfolio companies or external partners. Standardise data formats and validate inputs to ensure accuracy and integrity across brands. Integrate newly acquired portfolio companies into the platform and adapt system configurations as needed.
- Financial Modeling & Strategic Analysis: Build detailed financial and operational models focused on procurement, logistics, and Cost of Sales. Conduct trend analysis (e.g. inflation tracking, supplier performance, spend evolution) to identify opportunities for cost optimization. Support strategic planning processes, including the Annual Operating Plan (AOP), with analytical inputs on supply chain drivers. Contribute to supplier RFP evaluations through detailed data-driven assessments.
- Reporting & Decision Support: Develop dashboards and visualization tools (e.g., Power BI, Tableau) to communicate insights clearly and effectively. Prepare regular reporting materials, including monthly supply chain updates and quarterly partner reports. Ad hoc project analysis (e.g., large-scale logistics tenders). Provide analytical support to the Head of Supply Chain and wider investment team on strategic initiatives.
- Proven experience in data analysis, ideally within investment, consulting, or business analytics environments.
- Strong capability in financial modeling and structuring large or complex datasets.
- Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker) and Excel/Google Sheets.
- Demonstrated ability to work independently, extract data from fragmented sources, and create structure in ambiguous situations.
- Excellent communication and stakeholder engagement skills in English.
- Familiarity with supply chain, procurement, or logistics data is advantageous but not essential.
- Exposure to private equity or experience working with portfolio companies is a plus.
- Experience with SQL, Python, or similar tools for data manipulation is beneficial.
Data Analyst – Supply Chain in London employer: McWin Fund
At McWin, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Analyst in our London office, you will have the opportunity to work alongside industry veterans and contribute to meaningful projects that drive value creation in the foodservice and food technology sectors. We offer competitive benefits, professional development opportunities, and a dynamic environment where your analytical skills can thrive and make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – Supply Chain in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to McWin. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data analysis work. This is your chance to shine and demonstrate how you can add value to McWin.
✨Tip Number 3
Be ready for the interview! Research McWin’s portfolio companies and think about how your skills can help them. Tailor your answers to show you understand their needs.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst – Supply Chain in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience in data analysis, financial modelling, and any relevant tools like Power BI or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the foodservice and food technology sectors. Share specific examples of how you've used data to drive decisions in previous roles. We love a good story!
Show Off Your Data Skills:In your application, don’t just list your skills—show us how you’ve applied them. Whether it's through projects, internships, or previous jobs, give us the lowdown on how you've tackled data challenges. We’re all about real-world experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the McWin team!
How to prepare for a job interview at McWin Fund
✨Know Your Data Tools
Make sure you brush up on your skills with data visualisation tools like Power BI and Tableau. Be ready to discuss how you've used these tools in past roles, especially in relation to supply chain data. Showing familiarity with SQL or Python can also give you an edge!
✨Understand the Supply Chain Landscape
Familiarise yourself with the basics of supply chain management and procurement. Research McWin's portfolio companies and think about how data analysis can drive operational efficiency for them. This will help you demonstrate your understanding of the role's impact on value creation.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data analysis and financial modelling. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to work independently in ambiguous situations.
✨Engage with Stakeholders
Since communication is key in this role, prepare examples of how you've successfully engaged with stakeholders in previous positions. Think about times when you had to coordinate with different teams or present complex data insights in a clear manner. This will highlight your excellent communication skills.
