Business Analyst

About the Company

McKesson is a major healthcare organization focused on improving access to quality care through products, insights, and services. The company emphasizes growth, collaboration, and making a meaningful impact on patients, communities, and employees.

Role Overview

In this Business Data Analyst position, you will help shape analytics initiatives by working with business leaders and cross-functional partners to define, develop, and roll out data-driven solutions that support business outcomes. The role combines business strategy, data analysis, and product thinking, and may also involve hands-on analytical work when needed.

Key Responsibilities

• Work with executives and business leaders to understand objectives and identify where analytics can support better decisions.
• Translate technical and data concepts into clear, concise communication for different stakeholder groups.
• Support cross-functional teams by providing detailed insights for complex business challenges through advanced analytics.
• Partner with data engineers and data scientists to deliver outcomes.
• Use available tools and resources to plan, assess, and execute strategic initiatives.
• Coordinate work across internal, external, and multi-shore teams, ensuring timely delivery and high-quality execution.
• Identify opportunities to streamline business processes, improve operations, and address technical debt across the data landscape.
• Promote an automation-first, enterprise-first, and reusable approach when designing solutions.
• Help define solution architecture and build alignment across teams for data initiatives.
• Collaborate in Agile environments to design, develop, test, implement, and support data technology solutions.
• Apply data governance practices with business stakeholders and governance teams to encourage data literacy and democratization.
• Build scalable, reliable data engineering solutions that move data across systems in batch and real-time modes.
• Analyze structured data and apply statistical, mathematical, and advanced analytical methods to support modeling and algorithm development.
• Work with cloud concepts and infrastructure tools, including SaaS, PaaS, DaaS, IaaS, and infrastructure as code.
• Troubleshoot, monitor, and tune the performance of analytical solutions and RESTful web services.
• Use large database mining tools and statistical languages to support analytical use cases.
• Create dashboards, reports, and visualizations in Power BI using strong storytelling and visualization practices.
• Analyze trends and patterns, then recommend actions that improve business performance.
• Train and support end users so they can use Power BI effectively and make data-informed decisions.
• Present findings through reports and presentations and help educate others on results.

Requirements

• Bachelor’s degree or equivalent, with typically 4+ years of relevant experience.
• Bachelor’s or master’s degree in data science, statistics, computer science, economics, or a related discipline.
• At least 5 years of experience in data analytics, including 2 years in a leadership or mentorship capacity.
• Hands-on experience with Power BI, Tableau, or similar visualization tools.
• Strong working knowledge of SQL, Python, R, or comparable analytical tools.
• Solid understanding of statistical analysis, predictive modeling, and data mining methods.
• Experience using platforms such as Databricks and Snowflake.
• Strong communication skills and the ability to manage stakeholders effectively.
• Ability to handle several projects and priorities in a fast-moving environment.
• Leadership ability to coach teams and drive accountability and innovation.
• Strategic mindset with the ability to align work to longer-term goals.
• Creative problem-solving skills for handling complex challenges.
• Proficiency with Python, SQL, Spark, and cloud-native tools.
• Working knowledge of Snowflake, Databricks, Azure Data Factory, PySpark, analytical SQL, Alation, R, Python, SAP, and IBM DataStage is highly beneficial.
• Must be comfortable working in a traditional office setting with an in-office requirement of 2 days per week.

Compensation and Working Conditions

The base pay range for this role is $81,500 to $108,600. Pay is determined by factors such as experience, skills, performance, equity, job market conditions, and geography. The role may also be eligible for additional compensation, including an annual bonus or long-term incentive opportunities. The work environment is a traditional office setting, and the arrangement follows Flex and Connect with 2 days per week in the office.

Equal Opportunity and Application Safety

McKesson is an equal opportunity employer and considers all qualified applicants without regard to protected characteristics. The company also provides reasonable accommodation for applicants with disabilities. Be aware of recruitment scams: the company will not ask for money or credit card details as part of an application, and recruiting communications will not come through personal email services such as Gmail or Hotmail. Some recruiting messages may use a virtual assistant named Gia. Resumes or CVs sent to the accommodation email address will not be accepted.