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# Lead Business Intelligence Analyst

- **Company:** McKesson
- **Location:** Munster, IN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $81,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Visualization, Relational Databases, Decision Support Systems, Machine Learning, Meta-Data Management, Power BI, Tableau (Software), Enterprise Data Management, Google Cloud, Cloud Platform System, Sql Optimization, Data Layers, Information Technology, Data Analytics, Qlikview, Data Management, Tools for Reporting, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b5cabfabc53059e0

## About the Role

* 10+ years of experience in business intelligence, analytics, data engineering, reporting, or related data and analytics disciplines.

 * Bachelor's degree in Information Systems, Computer Science, Analytics, Data Science, Engineering, Business, or a related field, or equivalent experience.

 * Experience developing enterprise BI solutions using Power BI, Tableau, Qlik, or similar business intelligence platforms.

 * Hands-on experience designing data models, ETL/ELT processes, reporting solutions, and data integration workflows.

 * Advanced SQL skills and experience working with relational databases and cloud-based data platforms.

 * Experience gathering business requirements and translating them into scalable reporting and analytics solutions.

 * Demonstrated experience leading complex analytics initiatives and influencing stakeholders across multiple business functions.

 * Strong communication and presentation skills with the ability to explain technical concepts to diverse audiences.

Preferred Skills/Experience

 * Master's degree in Analytics, Data Science, Computer Science, Business, or a related field.

Experience with cloud platforms such as Azure, AWS, or Google Cloud. Experience with data governance, master data management, data quality, or enterprise data management programs.

 * Knowledge of predictive analytics, machine learning, AI-enabled analytics, or advanced statistical modeling.

 * Experience supporting highly regulated industries such as healthcare, life sciences, financial services, or similar environments.

 * Familiarity with Agile delivery methodologies and product-centric analytics organizations.

 * Experience building self-service analytics capabilities and enterprise reporting frameworks.

 * Proven success coaching, mentoring, or developing analytics professionals.

Travel, Work Environment & Physical Requirements

 * Location requirements and hybrid/in-office expectations to be determined based on business needs.

 * Occasional travel may be required for business meetings, team collaboration, or organizational initiatives.

 * Ability to work in a standard office or remote work environment and perform customary computer-based work activities.

## Description

McKesson is seeking a Lead Business Intelligence Analyst to drive enterprise analytics capabilities and help advance data-driven decision making across the organization. This role serves as a technical leader responsible for designing scalable business intelligence solutions, developing analytics platforms, and translating complex business challenges into actionable insights.

The ideal candidate combines expertise in business intelligence, data architecture, analytics engineering, and stakeholder engagement to deliver innovative reporting, dashboarding, and self-service analytics solutions. This individual will also mentor analytics professionals, champion data governance, and help shape enterprise analytics best practices.

What You'll Do

 * Lead development and optimization of enterprise business intelligence solutions, analytics platforms, dashboards, and reporting ecosystems.

 * Design and maintain scalable data models, ETL/ELT pipelines, semantic layers, and reporting architectures to support enterprise analytics.

 * Partner with business stakeholders to translate strategic objectives and business requirements into analytical solutions and actionable insights.

 * Develop interactive dashboards, scorecards, KPI frameworks, and executive reporting using leading BI technologies.

 * Establish and drive data governance standards, metadata management practices, and data quality assurance processes.

 * Mentor analysts and analytics professionals on data visualization, dashboard design, storytelling techniques, and BI best practices.

 * Lead cross-functional analytics initiatives and evaluate emerging technologies to improve reporting, automation, and insight generation.

 * Promote data literacy and self-service analytics capabilities throughout the organization.