Manager of Sales Force Effectiveness Analytics optimizing commercial sales force performance at Fresenius Kabi. Delivering advanced analytics and insights through cross-functional collaboration and strategic influence.
Responsibilities
Execute analytics initiatives across the four SFE pillars, ensuring alignment with commercial priorities and global standards
Deliver advanced models and insights to improve segmentation, targeting, and customer engagement strategies
Design and validate incentive compensation plans; monitor effectiveness and recommend adjustments based on performance analytics
Optimize territory alignment and coverage models using data-driven methodologies; recommend role configurations and resource deployment strategies
Partner with IT and Sales Ops to ensure optimal use of CRM and analytics platforms (Salesforce, Veeva, BI tools)
Develop predictive models and scenario analyses to support decision-making across SFE pillars
Build and maintain executive SFE dashboards and KPI frameworks for forecasting, performance tracking, and productivity metrics
Consolidate reporting tools and streamline access to actionable insights for field, managers, and leadership
Act as the analytics subject matter expert for stakeholders
Influence decision-making through compelling data storytelling and executive-ready presentations
Lead large-scale analytics initiatives across the commercial organization, ensuring stakeholder alignment and timely delivery
Drive adoption of new processes and tools through training, communication, and enablement metrics
Attend local, national, and global meetings as needed
Complete all training requirements, including all department-specific, compliance training, etc.
Participate in any and all reasonable work activities as assigned by management
Requirements
Bachelor’s degree required (MBA or advanced degree in business, life sciences, or related field preferred)
8+ years related experience (i.e. Sales Analytics, Sales Operations, or Revenue Operations; experience in segmentation, targeting, incentive compensation, and territory design)
Strong analytical and modeling skills (SQL, Python, BI tools)
Knowledge of machine learning techniques and predictive modeling
Familiarity with CRM, CLM, ERP and commercial data platforms (e.g., Veeva, Salesforce, Qlik, Power BI)
Proficient with Microsoft Office (Excel, Word, PowerPoint, Outlook), and other database/ERP concepts (i.e., SAP)
Experience in a regulated industry (pharma preferred)
Clear and effective communication, listening and presentation skills accompanied with strong critical thinking, problem resolution and interpersonal skills
Able to manage and prioritize multiple complex projects with demonstrated time management skills
Excellent organizational skills accompanied with strong project management, and planning skills
Must possess strong analytical skills with attention to detail and accuracy
Demonstrated ability to prioritize and execute tasks in a fast-paced dynamic environment
Ability to collaborate effectively with all employees and external business contacts while conveying a positive, service-oriented attitude
Highest level of integrity and good judgment, with the ability to effectively deal with highly sensitive, confidential information
Ability to work flexible hours and weekends to meet business/customer needs
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