Own and maintain the structure, quality, and governance of customer master data, including hierarchies, identifiers, and classifications across CRM/ERP and other systems
Ensure IDN, GPO, and pricing contract alignments are accurate and consistently applied across platforms
Detect and resolve duplications, misalignments, and integrity issues before they impact reporting
Manage indirect sales tracing: collect, validate, and attribute distributor sales to end-customers and integrate direct + indirect into unified reporting
Develop and utilize sales measurement models and diagnostic tools to identify sales performance indicators and opportunities
Analyze large, complex data sets and translate findings into actionable insights to drive commercial performance
Evaluate sales campaigns, marketing initiatives, and programs to measure ROI and recommend improvements
Build business cases and present insights to leadership, shaping decisions with clear narratives
Develop dashboards, scorecards, and frameworks that bring visibility to performance across teams and regions
Evaluate and recommend changes in sales incentive plans based on analytical findings
Create measurement frameworks for tracking commercial effectiveness and business impact
Partner with Sales, Marketing, Finance, and Operations to support day-to-day execution and long-term scaling
Help develop and administer training programs to fill competency gaps identified through analysis
Document decision logic, data definitions, and change processes to ensure clarity and consistency
Mentor teammates in data literacy, tools, and best practices
Contribute to building processes, governance, and tools that enable a rapidly growing commercial organization
Identify opportunities for process automation and efficiency improvements
Report to organizational leadership (see organizational chart)
Requirements
Bachelor’s degree in Business Analytics, Data Science, Statistics, Economics, Finance, or related quantitative field (Master’s degree preferred)
3-5+ years of experience in data analysis, business intelligence, or commercial analytics
2+ years in senior analyst or similar roles with demonstrated analytical impact
Experience in medical device industry
Proven experience supporting business decision-making through data analysis
Advanced proficiency in SQL and Excel
Intermediate skills in Python or R or similar analytical tools
Strong experience with data governance practices, data quality management, and data integration
Intermediate expertise in BI tools (Tableau, Power BI) with ability to create professional dashboards
Understanding of statistical analysis and basic predictive modeling concepts
Working knowledge of CRM/ERP systems and sales technology platforms
Legal authorization to work in the United States
Compliance with relevant county, state, and Federal rules regarding vaccinations
Benefits
A competitive base salary and variable incentive plan
Stock options – ownership and a stake in growing a mission-driven company
Employee benefits package that includes 401(k), healthcare insurance and paid vacation
Opportunity to shape company culture and continuous learning and development
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisbusiness intelligencecommercial analyticsSQLExcelPythonRdata governancedata quality managementdata integration