12 sep
|
Zimmer Biomet
|
España
12 sep
Zimmer Biomet
España
Commercial Analytics & Insights Senior Analyst at Zimmer Biomet in Cornellà de Llobregat, CT, ES. 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 general 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 adoptionDevelop territory alignment, call plan optimization, and segmentation/targeting modelsWrite production-quality Python/R and SQL to build repeatable, auditable pipelines - not one-off spreadsheetsOwn commercial dashboards and reporting (Power BI) for field and leadership visibilityAnalyze CRM, call activity, market share, and sales data to surface trends, whitespace, and riskSupport incentive compensation design: quota setting, payout modeling, scenario analysisTranslate ambiguous business questions (“why is Region X underperforming?”) into structured analysis and clear recommendationsPresent findings to sales leadership and executives in decision-ready formatTrack and continuously improve model performance post-launch (e.G., forecast accuracy, IC plan effectiveness), iterating as new data and market conditions emergeCustomer Segmentation Build and refine segmentation models based on value and potential driversEnsure methodology stays aligned with commercial strategy and field executionSupport segmentation's use in planning, targeting, and go-to-market decisionsReview and evolve segmentation logic based on market and performance feedbackTerritory Analytics & Go-to-Market effectiveness Model territory optimization and coverage effectivenessProvide data-driven input to territory design and organizational change discussionsCommercial Excellence Process Support Provide analytical input to territory mapping, target setting, and incentive-related processesEnsure accuracy, timeliness,
and governance alignment of analytical inputsSupport cross-functional planning and performance cyclesData Governance & Reporting Maintain accuracy and reliability of dashboards, scorecards, and reportsBuild and strengthen data quality checks, validation, and reconciliation routinesPartner with IT/data teams on pipeline reliabilityInvestigate data issues and drive corrective actionEnablement & Adoption Improve self-service analytical tools for commercial teamsDrive adoption through training and stakeholder engagementBuild data literacy across the commercial organizationWhat Makes You Stand Out Experience 4-7+ years in commercial analytics, sales operations, or data science, ideally in med tech, pharma, or healthcareProven experience with predictive modeling (regression, classification, forecasting) applied to commercial problemsHands-on experience with territory design, segmentation, incentive compensation, or sales forecastingExperience in a regulated, compliance-sensitive commercial environmentTechnical Skills Strong Python or R for statistical modeling; advanced SQL for large datasetsStrong Power BI skills; familiarity with Salesforce and SAP Data validation, reporting governance, and dashboard quality managementYour 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 datasetsStrong Power BI skills; familiarity with Salesforce and SAP Data validation, reporting governance, and dashboard quality managementOther 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 mindsetPhysical Requirements Travel Expectations EOE/M/F/Vet/Disability#J-18808-Ljbffr
📌 Commercial Analytics & Insights Senior Analyst At Zimmer Biomet (España)
🏢 Zimmer Biomet
📍 España