The role involves designing and building predictive models to support commercial decision-making, territory planning, and incentive compensation. It also entails maintaining data accuracy in dashboards and providing actionable insights to sales leadership to improve field productivity.
At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.
As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.
What You Can Expect
This role owns the analytics and insights pillar supporting commercial decision-making across EMEA — turning sales, customer, and territory data into clear, actionable recommendations that improve field productivity, and go-to-market execution. Predictive modeling is core to this role: the analyst is expected to build and continuously refine forward-looking models —sales performance, and market opportunity — that give commercial leadership the foresight to act ahead of trends rather than react to them. The role also provides analytical support to core commercial excellence processes (territory planning, target setting, incentive compensation) and safeguards the accuracy and trust of the commercial reporting environment.
How You'll Create Impact
Key Responsibilities
Commercial Analytics & Predictive Modeling
Design, build, and validate predictive models (regression, classification, and time-series forecasting) for sales performance, account targeting, and market opportunity sizing — with a focus on accuracy, interpretability, and real-world business adoption
Develop territory alignment, call plan optimization, and segmentation/targeting models
Write production-quality Python/R and SQL to build repeatable, auditable pipelines — not one-off spreadsheets
Own commercial dashboards and reporting (Power BI) for field and leadership visibility
Analyze CRM, call activity, market share, and sales data to surface trends, whitespace, and risk
Support incentive compensation design: quota setting, payout modeling, scenario analysis
Translate ambiguous business questions ("why is Region X underperforming?") into structured analysis and clear recommendations
Present findings to sales leadership and executives in decision-ready format
Track and continuously improve model performance post-launch (e.g., forecast accuracy, IC plan effectiveness), iterating as new data and market conditions emerge
Customer Segmentation
Build and refine segmentation models based on value and potential drivers
Ensure methodology stays aligned with commercial strategy and field execution
Support segmentation's use in planning, targeting, and go-to-market decisions
Review and evolve segmentation logic based on market and performance feedback
Territory Analytics & Go-to-Market effectiveness
Model territory optimization and coverage effectiveness
Provide data-driven input to territory design and organizational change discussions
Commercial Excellence Process Support
Provide analytical input to territory mapping, target setting, and incentive-related processes
Ensure accuracy, timeliness, and governance alignment of analytical inputs
Support cross-functional planning and performance cycles
Data Governance & Reporting Accuracy
Maintain accuracy and reliability of dashboards, scorecards, and reports
Build and strengthen data quality checks, validation, and reconciliation routines
Partner with IT/data teams on pipeline reliability
Investigate data issues and drive corrective action
Enablement & Adoption
Improve self-service analytical tools for commercial teams
Drive adoption through training and stakeholder engagement
Build data literacy across the commercial organization
What Makes You Stand Out
Experience
4–7+ years in commercial analytics, sales operations, or data science, ideally in med tech, pharma, or healthcare
Proven experience with predictive modeling (regression, classification, forecasting) applied to commercial problems
Hands-on experience with territory design, segmentation, incentive compensation, or sales forecasting
Experience in a regulated, compliance-sensitive commercial environment
Technical Skills
Strong Python or R for statistical modeling; advanced SQL for large datasets
Strong Power BI skills; familiarity with Salesforce and SAP
Data validation, reporting governance, and dashboard quality management
Your Background
Education
Bachelor's degree in Statistics, Data Science, Economics, Business Analytics, or related quantitative field (Master's a plus)
Technical Skills
Strong Python or R for statistical modeling; advanced SQL for large datasets
Strong Power BI skills; familiarity with Salesforce and SAP
Data validation, reporting governance, and dashboard quality management
Other
Strong written and verbal English
Excellent stakeholder communication and storytelling with data
High ownership, attention to detail, and organizational rigor
People leadership: coaching, development, team motivation
“I was the first applicant for a remote marketing position that got listed on the company website the same day I applied. Had an interview within 48 hours!”
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Marketing Manager
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