Commercial Analytics & Insights Senior Analyst at Zimmer Biomet

Zimmer Biomet; Amadora; Presencial; EUR 52 000 - 73 000; Tempo integral

Resumo da oferta

Zimmer Biomet in Portugal is seeking an experienced analytics professional to own the analytics and insights pillar supporting commercial decision-making across EMEA. You will turn sales, customer, and territory data into clear recommendations that improve field productivity and go-to-market execution.

The role centers on predictive modeling, building forward-looking models for sales performance and market opportunity, and providing analytical support to territory planning, target setting, and

Qualificações

• 4–7+ years in commercial analytics, sales operations, or data science.
• Experience with predictive modeling applied to commercial problems.
• Strong Python or R, SQL, and Power BI skills; knowledge of Salesforce and SAP.

Responsabilidades

• Own the analytics and insights pillar for commercial decision-making across EMEA.
• Build and refine forward-looking models for sales performance and market opportunity.
• Develop and maintain dashboards and reporting; ensure data governance and data quality.

Conhecimentos

Python/R

SQL

Power BI

Formação académica

Bachelor's degree in Statistics, Data Science, Economics, Business Analytics, or related quantitative field

Ferramentas

Salesforce

SAP

Descrição da oferta de emprego

This Full time on site position offers great opportunities for career growth. 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.

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 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