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Novonesis

Commercial Analytics Manager

Novonesis

. Shape and drive the FBB Commercial Analytics agenda .

Posted 11/11/2026full-timeHørsholm • DenmarkMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Commercial Analytics, leveraging advanced analytics and predictive modelling to drive actionable insights and support decision-making. Proficient in managing business intelligence tools like Power BI and working with large datasets to identify growth opportunities and commercial risks.

Highest-signal resume keywords
Commercial AnalyticsPredictive ModellingPower BICustomer SegmentationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical AnalysisData ScienceBusiness AnalyticsRevenue ManagementSQLPythonKNIMEData VisualizationKPI DefinitionPredictive Methods
Soft Skills
Analytical AcumenBusiness PartneringRelationship BuildingCuriosityCommunication
Tools & Technologies
Power BISnowflakeBusiness Intelligence ToolsData Quality ManagementDashboard Management
Industry Keywords
Commercial ExcellenceData-Driven RoleInternational OrganizationCross-Functional CollaborationEmerging Analytical Approaches

Tech Stack

Tools & technologies
PythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Shape and drive the FBB Commercial Analytics agenda
  • Identify and prioritize analytics initiatives with the highest commercial impact
  • Turn commercial data into actionable insights
  • Embed 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
  • Identify growth opportunities, commercial risks and key performance drivers
  • Own and continuously develop the FBB dashboard and commercial data landscape
  • Manage the Power BI dashboard suite, KPI definitions and data quality
  • Define what should sit within FBB versus enterprise platforms
  • Strengthen competitive and customer intelligence by combining internal and external signals
  • Translate intelligence into relevant commercial implications
  • Develop new analytics capabilities, including exploring AI use cases
  • Partner 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

Requirements

What you’ll need
  • 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
  • Experience applying customer segmentation, statistical analysis or predictive modelling
  • Experience using business intelligence and visualization tools such as Power BI
  • Strong analytical and commercial acumen
  • Ability to structure complex business questions, identify relevant insights and translate findings into clear recommendations and actions
  • Strong business partnering and stakeholder management skills
  • Ability to build effective relationships and drive adoption of insights and analytical capabilities across functions and regions
  • Experience working in an international and cross-functional organization with global and regional stakeholders
  • Knowledge of Snowflake, KNIME, SQL, Python or similar analytical tools
  • Curiosity for emerging analytical approaches, predictive methods and AI

Benefits

Comp & perks
  • Small, collaborative team
  • Significant exposure across Food & Beverage Biosolutions and opportunity to influence commercial analytics development within a global business
  • Opportunity to develop new analytical capabilities
  • Opportunity to work with stakeholders across functions and regions
  • Opportunity to see insights translated into real commercial decisions
  • Inclusive recruitment process and equal opportunity for all applicants