Business Intelligence Project Manager

McKesson

Business Intelligence Project Manager tasked with delivering high-impact analytical solutions at McKesson. Leading data-driven projects to support healthcare decision-making and operational improvements.

Posted 6/10/2026full-timeIrving • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $93,300 - $155,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformLinuxOraclePostgresPythonSQLTableau

About the role

Key responsibilities & impact

Deliver high-impact analytics and insights that drive informed decision-making across the organization
Own analytical initiatives end-to-end—from problem definition and solution design through delivery, adoption, and value realization
Lead the definition, design, and execution of analytics solutions for Financial Services & Solutions (FSS)
Develop and deliver new analytical initiatives, including dashboards, reports, and data products
Identify and communicate value generation, performance improvements, and opportunities
Translate complex technical concepts and analytical findings into clear, concise insights for business leaders and senior stakeholders
Own analytical initiatives from intake through delivery, including project scoping, prioritization, resource planning, risk identification, and timeline management
Track execution progress and proactively surface risks or issues
Oversee testing, UAT, validation, deployment, and post-release support

Requirements

What you’ll need

Bachelor’s degree or equivalent practical experience
4+ years of relevant experience in analytics, data science, business intelligence, or a related field
Demonstrated experience managing analytical projects or workstreams with multiple stakeholders
Strong experience with BI and analytics tools, including SQL, Python, and Excel
Hands-on experience with Tableau and/or Power BI
Advanced SQL skills for data extraction, transformation, and analysis
Proficiency using Python and/or R for analytics, automation, or data science applications
Familiarity with client-server architecture and RESTful APIs
Experience with relational and analytical databases such as Snowflake, Oracle, or Postgres (preferred)
Working knowledge of application and data architecture concepts
Basic familiarity with Linux/bash environments
Exposure to cloud platforms (Azure, AWS, or GCP) is a plus

Benefits

Comp & perks

Competitive compensation package
Annual bonus
Long-term incentive opportunities
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analyticsdata sciencebusiness intelligenceSQLPythonExcelTableauPower BIRdata extraction

Soft Skills

communicationproject managementstakeholder managementproblem-solvingrisk identificationtimeline managementresource planningperformance improvementvalue generationinsight translation

Certifications

Bachelor’s degree