Fresenius Kabi USA

Manager, Sales Force Effectiveness – Analytics

Fresenius Kabi USA

full-time

Posted on:

Location Type: Hybrid

Location: Lake ZurichIllinoisUnited States

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Salary

💰 $115,000 - $130,000 per year

Job Level

Tech Stack

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