Sr. Data Analytics Manager (MHS/Injectables)

McKesson’s Corporate; Mississauga; On-site; CAD 99,000 - 132,000; Full time

Job summary

McKesson is seeking a Manager, Data Analytics to enable enterprise-wide data-driven decision-making by managing data assets, implementing models, and delivering dashboards that guide strategic choices. The role collaborates with governance teams and business stakeholders to improve data quality and usability.

Candidates will have a Bachelor’s degree, 7+ years in data programs, expertise with Databricks, Snowflake, SQL, and Power BI, and a proven ability to translate complex data into actionable

Qualifications

• Bachelor’s degree or equivalent combination of education and experience; advanced degree preferred.
• Typically requires 7+ years of relevant professional experience advancing data programs, including quality management, integration pipelines, and cloud data warehousing for scalable analytics.

Responsibilities

• Manage and advance the data fabric to organize, integrate, and deliver enterprise data assets.
• Design, create, and maintain relational databases and data systems, ensuring scalability and reliability.
• Implement and apply statistical models to identify trends, patterns, and relationships that support decision‑making.
• Contribute to the management of central data stores and metadata, establishing and enforcing quality expectations.
• Identify opportunities to improve data quality, including automation and procedural enhancements for data entry and validation.
• Develop and implement techniques for data collection, accuracy, and management, ensuring compliance with governance standards.
• Accountable for data accessibility, profiling, and reporting of quality issues, driving remediation strategies.
• Collaborate with data governance, stewards, and business systems to propose and implement solutions for data quality improvement.
• Recommend analytics opportunities and best practices, influencing enterprise adoption of advanced analytics.
• Ensure development of solutions that enable actionable insights, supporting strategic and operational decision‑making.

Skills

Data modeling

Data quality

Cloud data warehousing

Metadata management

Data integration

Communication

Business acumen

Education

Bachelor’s degree or higher

Tools

Databricks

Snowflake

SQL

Power BI

Job description

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.

Job Title: Manager, Data Analytics Data Analyst plays a critical role in enabling enterprise-wide data-driven decision-making by managing and advancing McKesson’s data assets. This position is responsible for identifying, capturing, analyzing, and organizing data to support strategic and operational objectives. The role ensures adherence to information governance standards and leverages advanced analytics to uncover trends, patterns, and insights that inform key business decisions. The analyst designs and maintains relational databases, creates dashboards and reports, and implements statistical models to guide decision‑making. Collaborating with governance teams, data stewards, and business stakeholders, this position drives improvements in data quality, accessibility, and usability while influencing best practices across the organization.

Job Responsibilities:

• Manage and advance the data fabric to organize, integrate, and deliver enterprise data assets.
• Design, create, and maintain relational databases and data systems, ensuring scalability and reliability.
• Implement and apply statistical models to identify trends, patterns, and relationships that support decision‑making.
• Contribute to the management of central data stores and metadata, establishing and enforcing quality expectations.
• Identify opportunities to improve data quality, including automation and procedural enhancements for data entry and validation.
• Develop and implement techniques for data collection, accuracy, and management, ensuring compliance with governance standards.
• Accountable for data accessibility, profiling, and reporting of quality issues, driving remediation strategies.
• Collaborate with data governance, stewards, and business systems to propose and implement solutions for data quality improvement.
• Recommend analytics opportunities and best practices, influencing enterprise adoption of advanced analytics.
• Ensure development of solutions that enable actionable insights, supporting strategic and operational decision‑making.

What We’re Looking For:

Minimum Requirements:

Bachelor’s degree or equivalent combination of education and experience; advanced degree preferred. Typically requires 7+ years of relevant professional experience advancing data programs, including quality management, integration pipelines, and cloud data warehousing for scalable analytics.

Critical Skills/Experience:

• Advanced capability in data modeling and database design for complex analytical systems.
• Proficiency in data quality management programs, including accuracy, completeness, and timeliness checks.
• Advanced capability in cloud data warehousing and performance optimization for large-scale analytics.
• Proficiency in metadata management and lineage documentation for compliance and governance.
• Ability to implement advanced data integration pipelines and monitor data flow reliability.
• Competence in Business Function Knowledge, Customer & Business Driven, Problem Solving, Building Relationships, Adaptability, Digital Acumen, and Creativity.
• Clear written and verbal communication tailored to both business and technical audiences.

Technical Expertise:

• Advanced experience leveraging Databricks, Snowflake, and SQL to develop scalable analytical datasets, models, and reporting solutions.
• Strong proficiency with Power BI to deliver executive‑ready dashboards, KPIs, and self‑service analytics capabilities.
• Demonstrated ability to partner closely with business stakeholders to frame problems, identify opportunities, and translate data into actionable recommendations.
• Experience supporting commercial, pricing, customer, product, or portfolio analytics with an understanding of how insights drive business performance and decision‑making.
• Proven ability to work independently in ambiguous environments, balancing technical execution with strategic business consultation to deliver measurable outcomes.

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 $99,100 - $132,100

McKesson is an Equal Opportunity Employer.

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category.

For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities.

If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) [e-mail] or (Canada) [e-mail]. Resumes or CVs submitted to this email box will not be accepted.