Commercial Finance - Data Analyst

The Commercial Finance Analyst partners with Commercial teams and other functions to deliver data-informed analysis to drive revenue and margin. The key responsibilities are to ensure accuracy of standard cost, margin reporting and data-driven analytics. They will provide financial models and data analysis to assess new opportunities and work with commercial leaders during the annual price renewal process.,

• Use SQL and other data analysis tools to collaborate with multiple teams and deliver data-informed reporting and analysis in sales performance, margins, and forecasting.
• Run data-driven performance reporting for the entire division in Europe and align figures with other finance departments.
• Co-ordinate with sales directors and consolidate their data inputs to deliver accurate monthly forecasts using SQL and data analysis techniques.
• Build and maintain data-centric customer reports including customer incentives to ensure payments are made accurately and on time.
• Challenge commercial teams by analysing sales data and models to review performance and forecasts.
• Ensure correct margin performance by updating the standard costs and reporting data-driven insights on the impact these will make to the business., Embodies the 4-I Values (Acts with integrity. Achieve results through intensity, innovation, and involvement)
• Builds Customer Allegiance (Delights and ensures trust with internal and/or external customers)
• Communicates openly (Communicates honestly and effectively with subordinates, peers, manager, & senior leaders)
• Drives Growth (Shows passion, commitment, a strong result's focus, and an understanding of the goal tree)
• Makes profitable business decisions, incorporates contingency planning into strategies, and makes data-based decisions
• Develops People Including Self (Practices self development and champions employee development and growth)
• Embraces PPI (Embraces Continuous Improvement by using PPI to improve processes & solve problems)
• Drives Continuous Learning (Improves on processes and results)
• Builds Organizational Relationships (Promotes collaboration, builds teamwork, and leads by example)
  
  Proficient in data analysis and interpretation.
• Ability to leverage data to understand key business drivers using good commercial awareness.
• Knowledge and experience of accounting packages; proficient in Microsoft Excel.
• Experience of Microsoft Power BI and SQL database management would be advantageous.
• Builds and maintains data models to support decision making.
• Strong ability to communicate data insights effectively to stakeholders., Attention to detail
• Highly analytical.
The ability to identify and resolve data inconsistencies and problems.