Commercial Analytics Manager

The Role & Your Impact

As Commercial Analytics Manager, you'll shape and advance the commercial analytics agenda across FBB while staying close to the data and the business questions behind it. You'll work with global, regional and enterprise colleagues to turn complex questions into insight and recommendations that inform real decisions.

Key Responsibilities

• Shape and drive the FBB Commercial Analytics agenda, identifying and prioritizing analytics initiatives with the highest commercial impact.
• Turn commercial data into actionable insights, embedding recommendations into commercial processes, performance reviews and management decision-making.
• Drive advanced and predictive analytics, including customer segmentation, pipeline analytics, statistical analysis and predictive modelling to identify growth opportunities, commercial risks and key performance drivers.
• Own and continuously develop the FBB dashboard and commercial data landscape, including the Power BI dashboard suite, KPI definitions and data quality, while defining what should sit within FBB versus enterprise platforms.
• Strengthen competitive and customer intelligence, bringing together internal and external signals and translating them into relevant commercial implications, including acting as FBB process owner for selected enterprise processes such as Customer Mapping.
• Develop new analytics capabilities, including exploring AI use cases and partnering with global, regional and enterprise teams to drive adoption of analytics, insights and new ways of working.
• Support recurring pipeline reviews with insights on pipeline health, conversion, risks and opportunities.

What You'll Need to Be Successful

• A relevant Master's degree within Business, Economics, Finance, Data Science, Mathematics or a related field.
• Typically 4–8 years of relevant experience from Commercial Analytics, Business Analytics, BI, Revenue Management, Commercial Excellence or a similar data-driven role.
• Strong experience working with large and complex datasets, applying analytical approaches such as customer segmentation, statistical analysis or predictive modelling.
• Experience using business intelligence and visualization tools such as Power BI.
• Strong analytical and commercial acumen, with the ability to structure complex business questions, identify the insights that matter and translate findings into clear recommendations and actions.
• Strong business partnering and stakeholder management skills, with the ability to build effective relationships and drive adoption of insights and analytical capabilities across functions and regions.

Additional Skills & Interests We Value

• Experience working in an international and cross-functional organization with global and regional stakeholders.
• Knowledge of Snowflake, KNIME, SQL, Python or similar analytical tools, as well as curiosity for emerging analytical approaches, predictive methods and AI.