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- 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 technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the food industry while developing your data analysis skills.
- Qualifications: Experience in data analysis and strong financial modelling skills required.
- Other info: Dynamic team environment with exposure to top-tier portfolio companies.
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.
- 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.
- 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 Capital Partners
Contact Detail:
McWin Capital Partners Recruiting Team
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! Create a portfolio showcasing your data analysis projects, especially any relevant to supply chain or financial modelling. This will give you an edge during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of the foodservice and food technology sectors. Understanding McWin's investments will help you speak their language and show you're genuinely interested.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at McWin. Plus, it shows you're keen on joining the team!
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 at McWin. 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 or improve processes in previous roles.
Showcase Your Data Skills: In your application, don't forget to showcase your proficiency in data visualisation tools and your ability to handle complex datasets. We love seeing candidates who can turn raw data into actionable insights, so give us some examples!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at McWin Capital Partners
✨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 projects, as well as any experience you have with SQL or Python for data manipulation.
✨Understand the Supply Chain Landscape
Familiarise yourself with the basics of supply chain management and procurement. Even if you don't have direct experience, showing that you understand the key concepts will impress the interviewers and demonstrate your interest in the role.
✨Prepare for Financial Modelling Questions
Since financial modelling is a big part of this role, practice explaining your approach to building models. Be ready to share examples of how you've conducted trend analysis or optimised costs in previous roles.
✨Engage with Stakeholders
Highlight your communication skills by preparing examples of how you've engaged with stakeholders in the past. Discuss how you’ve coordinated with different teams to ensure data accuracy and integrity, as this will be crucial in the role.