Lead Data Analytics & Automation

McKesson Corporation; Irving (TX); Hybrid; USD 114,000 - 190,000; Full time

Job summary

McKesson Corporation in Irving, Texas is seeking a Manager of Data Analytics to bridge business and technology. You will engage with stakeholders to translate workflows into analytics and automation, build dashboards, and deliver production-grade Python code for ETL and integrations.

The role involves modernizing analytics, supporting platform migrations, and contributing to AI strategies with engineering teams. Hybrid onsite with some remote work is expected.

Qualifications

• 7+ years in analytics, BI, or a similar role.
• Strong communication: extract requirements from business teams who don't speak technical, and explain solutions to non-technical stakeholders.
• SQL with hands-on dashboard-building in BI platforms (Power BI, Tableau, Looker).
• Strong Python skills for ETL, API integrations, and automation.
• Hands-on delivery with cloud data platforms (Snowflake, Databricks).
• Solid data modeling and BI best practices.
• Familiarity with AI/ML concepts and practical use in reporting.

Responsibilities

• Understand workflows with stakeholders and translate into analytics and automation solutions.
• Build and maintain dashboards and self-service reporting for decision making.
• Write production Python to automate processes and data pipelines.
• Support major platform migrations by updating dashboards and data products.
• Help shape AI strategy by identifying value and partnering with engineering.

Skills

7+ years in analytics

Strong communication

SQL

Python

Cloud data platforms

Data modeling

AI/ML concepts

RPA automation

Healthcare background

Education

Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics

Tools

Power BI

Tableau

Looker

Snowflake

Databricks

Job description

McKesson Corporation in Irving, Texas is seeking a Manager of Data Analytics to bridge business and technology. You will engage with stakeholders to translate workflows into analytics and automation, build dashboards, and deliver production-grade Python code for ETL and integrations.

The role involves modernizing analytics, supporting platform migrations, and contributing to AI strategies with engineering teams. Hybrid onsite with some remote work is expected.