
Manager, Sales Force Effectiveness – Analytics
Fresenius Kabi USA
full-time
Posted on:
Location Type: Hybrid
Location: Lake Zurich • Illinois • United States
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Salary
💰 $115,000 - $130,000 per year
About the role
- 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
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
SQLPythonpredictive modelingmachine learning techniquesdata-driven methodologiesanalyticssegmentationtargetingincentive compensationterritory design
Soft Skills
analytical skillscommunication skillspresentation skillscritical thinkingproblem resolutioninterpersonal skillstime managementorganizational skillsproject managementcollaboration
Certifications
Bachelor's degreeMBAadvanced degree in businessadvanced degree in life sciences