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 versátil 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

Collaborative, pragmatic, business‑oriented mindset

Physical Requirements

Travel Expectations

EOE/M/F/Vet/Disability

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📌 Commercial Analytics & Insights Senior Analyst (Madrid)
🏢 Zimmer Biomet
📍 Madrid