Commercial Analytics & Insights Senior Analyst at Zimmer Biomet

Zimmer Biomet; Valencia; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Competitive total rewards

Wellness incentives

Recognition and performance awards

Descripción de la vacante

Zimmer Biomet in Valencia, Spain is seeking a Commercial Analytics & Insights Senior Analyst to join our on-site team. You will lead predictive modeling for sales performance, target setting, and market sizing while shaping territory alignment and segmentation strategies.

You will own production-quality analytics in Python/R and SQL, develop dashboards in Power BI, and partner with sales leadership to drive data-driven decisions in a regulated, healthcare-focused environment.

Formación

• 4-7+ years in commercial analytics, sales operations, or data science, ideally in med tech, pharma, or healthcare
• Proven experience with predictive modeling applied to commercial problems
• Hands-on experience with territory design, segmentation, incentive compensation, or sales forecasting
• Experience in a regulated, compliance-sensitive commercial environment

Responsabilidades

• Design, build, and validate predictive models for sales performance, account targeting, and market sizing
• Develop territory alignment, call plan optimization, and segmentation/targeting models
• Write production-quality Python/R and SQL pipelines for repeatable analyses
• Own commercial dashboards and reporting (Power BI) for field and leadership visibility
• Analyze CRM, call activity, market share, and sales data to surface trends and risks
• Support incentive compensation design: quota setting and payout modeling
• Translate business questions into structured analyses and recommendations
• Present findings to sales leadership and executives in decision-ready formats
• Track model performance and iterate post-launch as data evolves

Conocimientos

Predictive modeling

Territory design

Segmentation

Data storytelling

English communication

Stakeholder management

Educación

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

Herramientas

Python

R

SQL

Power BI

Salesforce

SAP

Descripción del empleo

Commercial Analytics & Insights Senior Analyst at Zimmer Biomet in Valencia, VC, ES. This Full time on site position offers great opportunities for career growth.

What You Can Expect

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.

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

• Bachelor's degree in Statistics, Data Science, Economics, Business Analytics, or related quantitative field (Master's a plus)

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