Business Analyst

MCKESSON; Little Canada (MN); Hybrid; USD 82,000 - 109,000; Full time

Benefits offered by this job

Flex & Connect two days per week in an

Competitive Total Rewards package

Job summary

McKesson in Minnesota is seeking a Business Data Analyst to translate complex data into actionable insights for executives. You will build Power BI dashboards, collaborate with cross-functional teams, and mentor junior analysts.

The role blends analytics, storytelling, and governance across the data stack, with Agile teamwork and a flexible, office-based schedule two days a week, plus competitive total rewards.

Qualifications

• Bachelor's degree or equivalent experience required.
• 5+ years of experience in data analytics with leadership/mentorship.
• Experience with Power BI, Tableau or similar visualization tools.
• Proficiency in SQL, Python, or R.
• Strong statistical analysis, modeling and data mining skills.
• Experience with Databricks and Snowflake preferred.
• Excellent communication and stakeholder management abilities.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Partner with business leaders to understand strategic objectives and uncover data-driven opportunities.
• Translate complex analytical concepts into clear communication for stakeholders.
• Deliver deep data insights to support complex business challenges.
• Collaborate with data engineers and scientists to achieve outcomes.
• Plan, assess, and execute strategic data initiatives.
• Guide partners and cross-shore teams to deliver high-quality work on time.
• Improve business processes and address technical debt across the data landscape.
• Design scalable data architectures with an automation-first approach.
• Work in Agile teams to develop and support data solutions.
• Promote data governance and data literacy across the enterprise.
• Build reliable data engineering solutions for batch and real-time data movement.
• Analyze and model structured data with advanced statistics for analytics use cases.
• Troubleshoot and tune performance of analytical solutions and RESTful services.
• Create interactive Power BI dashboards and visuals with storytelling.

Skills

Data analytics

Leadership

Communication

Power BI

Tableau

SQL

Python

R

Statistical analysis

Predictive modeling

Data mining

Databricks

Snowflake

Spark

Cloud-native tools

Education

Bachelor's degree or equivalent experience

Tools

Power BI

Tableau

SQL

Python

R

Databricks

Snowflake

Looker

Spark

Job description

Salary: $81,500 - 108,600 per year

Requirements

• We require a bachelors degree, or equivalent experience, and typically 4+ years of relevant background.
• We prefer a bachelors or masters degree in data science, statistics, computer science, economics, or a related discipline.
• We look for 5+ years of experience in data analytics, including at least 2 years in a leadership or mentorship capacity.
• We need experience with Power BI, Tableau, or comparable data visualization platforms.
• We expect proficiency in SQL, Python, R, or similar analytical tools.
• We value a solid grasp of statistical analysis, predictive modeling, and data mining techniques.
• We seek experience with analytical platforms such as Databricks and Snowflake.
• We need excellent communication and stakeholder management abilities.
• We expect the ability to manage multiple priorities and projects in a fast-paced setting.
• We also value leadership capability, strategic thinking, strong problem-solving skills, and proficiency in Python, SQL, Spark, and cloud-native tools.

Responsibilities

• We partner with business leaders and executives to understand strategic objectives and uncover data-driven opportunities.
• We translate complex analytical concepts into clear, concise communication for stakeholders across the organization.
• We support cross-functional teams by delivering deep data insights for complex business challenges.
• We collaborate with data engineers and scientists to deliver effective outcomes.
• We use tools and resources to plan, assess, and execute strategic initiatives.
• We guide internal and external partners and multi-shore teams to deliver work on time and with high quality.
• We continuously improve business processes and operations while identifying technical debt across the data landscape and driving remediation efforts.
• We design solution architectures with an automation-first, enterprise-first, reusable approach and help build alignment around data solutions.
• We work in Agile teams to design, develop, test, implement, and support technical solutions across the data technology stack.
• We implement data governance practices and promote data literacy and democratization across the enterprise.
• We build scalable, reliable data engineering solutions to move data efficiently across batch and real-time systems.
• We analyze and model structured data, applying advanced statistical and mathematical methods to support analytics use cases.
• We troubleshoot, monitor, and tune the performance of analytical solutions and RESTful web services.
• We create interactive Power BI dashboards, reports, and visualizations using strong storytelling and visualization practices.
• We analyze data to identify trends and patterns, then recommend actions to improve business performance.
• We train and support end users so they can use Power BI effectively and make informed decisions.

Technologies

• Cloud
• Databricks
• Support
• Power BI
• Python
• SQL
• Snowflake
• Spark
• Tableau
• Web
• Azure
• IBM
• IaaS
• Looker
• PaaS
• PySpark
• SAP
• More

We are McKesson, an impact-driven Fortune 10 healthcare company that delivers insights, products, and services designed to make quality care more accessible and affordable. We foster a culture where people can grow, contribute meaningfully, and bring forward new ideas as we shape the future of health together. This Business Data Analyst role is based in a traditional office environment with a Flex and Connect expectation of two days per week in the office. We offer a competitive Total Rewards package, including a base pay range of $81,500 to $108,600, with potential bonus or long-term incentive opportunities depending on performance, experience, skills, equity, and market factors. We are committed to equal employment opportunity and welcome applicants from all backgrounds.last updated 43 week of 2026