Commercial Finance Analyst

Job Description

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

1. 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)

2. 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)

3. 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

4. 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)

5. 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

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