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.

• 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.

• 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 37 week of 2026

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