Principal Sales Analyst (Commercial Operations)

About the role

MiniMed is a global leader in diabetes technology, dedicated to transforming lives through innovation. We are on a mission to deliver smarter, more connected solutions that empower people with diabetes to live fuller, more confident lives.

This positions in hybrid, 3 days per week, onsite in San Antonio, TX.

Responsibilities

• Develop, maintain, and continuously improve commercial dashboards and reporting tools that provide actionable insights to sales, marketing, and leadership teams
• Conduct deep-dive analyses on commercial performance — including sales trends, territory performance, customer segmentation, market penetration, and competitive dynamics
• Translate complex datasets into clear, compelling narratives that inform strategic and tactical decision-making at all levels of the organization
• Proactively identify patterns, anomalies, and opportunities within commercial data and bring forward recommendations with supporting evidence
• Partner with business stakeholders to understand their analytical needs and deliver solutions that are both rigorous and accessible
• Build and maintain a single source of truth for key commercial metrics, ensuring data accuracy, consistency, and trust across the organization
• Support the development and execution of sales forecasting models, including demand planning, revenue projection, and pipeline analysis
• Maintain and enhance forecasting tools and templates, ensuring they are accurate, repeatable, and aligned to business planning cycles
• Analyze historical performance data to identify trends and patterns that improve forecast accuracy over time
• Assist in scenario modeling and sensitivity analysis to help leadership understand the range of potential outcomes under varying business conditions
• Collaborate with Finance, Marketing, and Supply Chain to ensure forecast inputs are aligned and assumptions are well-documented
• Track and report on forecast accuracy metrics, identifying root causes of variance and recommending model improvements
• Support the design and maintenance of standard operating reports and cadenced dashboards that power the rhythm of the commercial business
• Build and automate recurring reports and data pipelines that reduce manual effort and improve the speed and reliability of insights delivery
• Document data definitions, reporting methodologies, and analytical processes to ensure consistency and enable knowledge sharing across the team
• Prepare business reviews, synthesizing data into executive-ready presentations and performance summaries
• Identify opportunities to streamline and standardize reporting workflows across the commercial organization
• Identify and implement automation opportunities within existing analytical workflows — eliminating repetitive manual tasks and improving throughput
• Leverage AI-assisted tools and modern analytics platforms to enhance the speed, accuracy, and depth of commercial analysis
• Explore and pilot the application of machine learning and predictive analytics to commercial use cases such as churn prediction, customer scoring, and territory optimization
• Stay current on emerging analytics technologies and best practices, bringing forward ideas for how new tools can be applied to solve business problems
• Collaborate with IT and data engineering teams to improve data infrastructure and accessibility in support of advanced analytics goals
• Serve as an analytical partner to Sales, Marketing, Finance, and Commercial Operations leadership — translating business questions into analytical frameworks and delivering answers with clarity
• Support ad hoc analytical requests with speed and precision, balancing urgency with analytical rigor
• Contribute to a data-driven culture by sharing insights, educating stakeholders on data interpretation, and advocating for evidence-based decision-making
• Participate in cross-functional projects and strategic initiatives where analytical support is needed

Qualifications

• Bachelor's degree and 7+ years of experience in commercial analytics, business intelligence, sales operations, or a related analytical function
• Advanced degree and 5+ years of experience in commercial analytics, business intelligence, sales operations, or a related analytical function

Preferred Qualifications

• Advanced proficiency in data visualization, Salesforce, and BI tools — Power BI, Tableau, or equivalent — including the ability to build production-quality dashboards from scratch
• Strong SQL skills with the ability to query, join, and transform large datasets independently
• Demonstrated experience supporting or building commercial forecasting models with quantifiable accuracy improvements
• Proficiency in Excel and/or Python/R for data manipulation, statistical analysis, and modeling
• Strong analytical storytelling skills — the ability to take complex data and communicate it clearly and persuasively to both technical and non-technical audiences
• Proven ability to manage multiple priorities in a fast-paced environment with a high degree of independence and accountability
• Detail-oriented with a strong commitment to data accuracy and integrity
• Experience in the medical device, healthcare, or life sciences industry
• Familiarity with CRM platforms such as Salesforce and their underlying data structures
• Exposure to machine learning concepts or predictive modeling techniques applied in a commercial context
• Experience with automated reporting pipelines or data orchestration tools
• Bachelor's degree in Data Science, Statistics, Business Analytics, Engineering, or a related quantitative field; advanced degree a plus
• Experience working in a high-growth or post-carve-out environment where ambiguity and adaptability are required