At a Glance
- Tasks: Own and deliver timely sales reporting and analytics for the Germany business.
- Company: Join a dynamic team in a leading commercial finance environment.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Collaborative culture with opportunities to work on exciting projects.
- Why this job: Make an impact by providing critical insights that drive business decisions.
- Qualifications: Strong Excel skills and experience with data reporting are essential.
The predicted salary is between 35000 - 45000 £ per year.
Own and deliver reliable, timely sales reporting and foundational analytics for the Germany business, ensuring continuity of critical commercial insights and supporting decision-making across Commercial, Finance, and Operations.
Responsibilities
- Sales Reporting & Business Performance Tracking
- Own weekly sales reporting & commentary
- Support monthly business review reporting
- Deliver clear, concise performance commentary (trends, risks, opportunities)
- Present data in internal weekly/monthly forums (as needed)
- Data Management & Integrity
- Maintain and validate POS data (daily/weekly checks for completeness & accuracy)
- Ensure correct product/item mappings and data hygiene
- Maintain master datasets (store list, product files, aggregator mappings)
- Aggregator & Channel Performance Reporting
- Extract and manage data from aggregator platforms
- Track and report channel performance (sales, mix, trends)
- Support analysis of aggregator initiatives and promotions
- Commercial Analytics & Insights
- Conduct basic to intermediate analysis on:
- Promotions & PPNOC initiatives
- LTO performance (sales mix, uplift)
- Channel profitability (e.g., aggregators vs in-store)
- Support ad hoc business questions (performance trends, anomalies, seasonality)
- Financial & Operational Support
- Support monthly sales data preparation for invoicing (in coordination with Finance)
- Assist in cost of sales (COS) analysis for upcoming promotions
- Provide store-level reporting to Operations and Development teams
Key Interfaces
- Head of Commercial FP&A and Finance teams (local & Global)
- KFC Germany (limited, during transition only)
- Operations & Development teams
Qualifications
- Must-have
- Strong Excel skills (pivot tables, data manipulation, basic modelling)
- Experience with data reporting and performance tracking
- Comfortable working with large datasets and multiple sources
- Strong attention to detail (data accuracy is critical)
- Ability to translate data into simple insights
- Nice-to-have
- Power BI familiarity
- Basic SQL understanding
- Experience in retail/QSR/aggregator environments
- English language proficiency
Commercial Finance Analyst employer: YUM
As a Commercial Finance Analyst at our company, you will thrive in a dynamic and supportive work environment that values collaboration and innovation. We offer competitive benefits, opportunities for professional growth, and a culture that encourages continuous learning and development, all while being part of a team that drives impactful commercial insights for the Germany business.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Finance Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in finance or analytics roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got strong Excel skills and experience with data reporting, consider creating a portfolio of your work. Share it during interviews to demonstrate your capabilities and make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on common questions related to sales reporting and data management. We recommend practising how to explain your past experiences with data analysis clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Commercial Finance Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Commercial Finance Analyst. Highlight your experience with sales reporting, data management, and any relevant analytics skills. We want to see how your background aligns with what we're looking for!
Showcase Your Excel Skills:Since strong Excel skills are a must-have, don’t shy away from showcasing your expertise. Mention specific functions you’re comfortable with, like pivot tables and data manipulation. We love seeing those skills in action!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to performance commentary and insights.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at YUM
✨Master Your Excel Skills
Since strong Excel skills are a must-have for this role, make sure you brush up on pivot tables and data manipulation before the interview. Practise explaining how you've used these skills in past roles to analyse data and generate insights.
✨Know Your Data Reporting
Familiarise yourself with sales reporting and performance tracking concepts. Be ready to discuss your experience with large datasets and how you've ensured data accuracy in previous positions. Prepare examples that showcase your attention to detail.
✨Understand the Business Context
Research the company’s commercial strategies and recent initiatives in the retail or QSR sectors. This will help you connect your answers to their specific needs and demonstrate your understanding of the industry.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse data trends or solve hypothetical business problems. Practise articulating your thought process clearly, as this will show your analytical skills and ability to translate data into actionable insights.
