Business Intelligence & Strategy Analyst

McKesson Customer Insights & Success Role

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

This role sits within the Customer Insights & Success team, a key function of McKesson's Strategy and Innovation organization. As part of the Commercial Strategy and Innovation Center of Excellence (CSI COE), the team is dedicated to delivering standardized, actionable insights and driving improvements across the full spectrum of the customer experience. Through close collaboration with cross-functional partners, the group supports strategic decision-making and fosters innovation that enhances commercial outcomes.

Key Responsibilities

• Serve as the subject matter expert for Net Promoter Score (NPS), Voice of Customer (VoC) data infrastructure, and related systems, ensuring quality control and consistency across programs.
• Act as a key liaison supporting various business units by translating customer experience data into actionable insights that drive strategic decisions.
• Leverage predictive analytics, regression modeling, and root cause analysis to uncover trends, identify key drivers of customer satisfaction, and inform business strategies across diverse stakeholder groups and sales segments.
• Analyze a comprehensive set of customer experience metricsnot limited to NPSincluding CSAT, CES, churn indicators, and qualitative VoC feedback to develop holistic insights.
• Develop scalable frameworks for recurring analysis that surface root causes of customer pain points and operational inefficiencies.
• Create compelling data visualizations and partner with internal teams to build robust dashboards that integrate VoC, operational data, website and purchase data for cross-functional use.
• Work with a variety of data formatsfrom flat files (CSV, XLS, TXT) to large-scale transactional datasetsensuring data integrity and quality throughout the analytics lifecycle.
• Conduct descriptive and exploratory analyses to support program owners and business units in identifying opportunities for improvement.
• Frame findings and develop executive-ready presentations to communicate insights and recommendations from analytic efforts.
• Provide actionable insights based on both qualitative and quantitative research, supporting customer-centric initiatives and loyalty improvements.
• Collaborate across multiple business units to support both planned and ad-hoc analytics requests, ensuring timely and relevant delivery of insights.
• Analyze operational, customer, and financial data alongside large-scale customer feedback datasets to advise stakeholders on best practices for customer-centricity.
• Pull and integrate data from disparate sources, writing code to clean and prepare data for modeling and advanced analytics.

Education

• Bachelor's degree in Business Analytics, Statistics, Economics or a related field/ Master's degree or MBA preferred or equivalent experience.

Minimum Requirements

• 7+ years in business intelligence, customer insights, or strategy analytics.
• Data analysis experience: ability to execute complex analysis and synthesize into a storyline to socialize, influence and drive action across the organization.
• Analytical and problem-solving skills. Ability to formulate hypotheses, search for patterns, and find the story in the data.

Critical Skills

• Experience with quality checking data sources and executing methods to maintain high quality of analytic datasets.
• Proven experience working with VoC data and translating it into business impact.
• Visualization & Reporting: Tableau, Power BI, Looker, Excel (advanced functions, pivot tables, macros).
• VoC & Survey Tools: Qualtrics, Google Forms, AhHa, Salesforce, etc.
• Web & UX Analytics: Google Analytics, Adobe Analytics, LogRocket, Hotjar.
• Familiarity with regression-based analysis.
• Advanced PC skills: Proficient in Microsoft Office including Word, Excel, (v-look ups, pivots, If statements, charts, graphs) and PowerPoint.
• Adept at queries, report writing and presenting findings.

Additional Knowledge & Skills

• Data Querying & Management: SQL, Snowflake, BigQuery, Microsoft Azure Data Explorer (Kusto).
• Data Analysis & Modeling: Python (pandas, scikit-learn), R, Alteryx.
• Self-motivated, organized, and capable of proactively identifying, sourcing, and handling multiple initiatives at one given time to successful completion.
• Demonstrates personal commitment and drive to meet or exceed objectives.
• Strong storytelling and data visualization capabilities.
• Strategic thinker with a customer-first mindset.
• Excellent communication and stakeholder engagement skills.
• Comfortable navigating ambiguity and working cross-functionally.

Candidates must be authorized to work in USA. Sponsorship is not available for this role.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position $110,300 - $183,800

McKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information.