Data Analytics Manager: AI-Driven Insights & Automation

McKesson Corporation

Town Center (TX)

Hybrid

USD 114,000 - 190,000

Full time

12 days ago

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Job summary

McKesson is seeking a Manager, Data Analytics to bridge business and technical teams, modernize automations, and drive self-service analytics across pricing, finance, and manufacturing relations. The role centers on translating stakeholder needs into clear requirements and delivering scalable solutions.

You will write production Python, build dashboards, and shape AI-driven approaches, ensuring adoption and measurable impact across the organization.

Qualifications

  • 7+ years in analytics, BI, or similar role.
  • Strong communication: translate business needs to technical solutions.
  • SQL proficiency with dashboards in a BI platform.
  • Strong Python skills for ETL, APIs, automation.
  • Hands-on with cloud data platforms (Snowflake, Databricks).
  • Understanding of data modeling and BI best practices.
  • Familiarity with AI/ML concepts in reporting workflows.

Responsibilities

  • Collaborate with business and operations teams to map workflows to analytics and automation.
  • Build and maintain dashboards and self-service reporting for stakeholders.
  • Develop production Python to automate processes and data pipelines.
  • Support major platform migrations by updating dashboards and data workflows.
  • Contribute to AI strategy by identifying value and partnering with engineering.

Skills

Analytics experience
SQL
Python
Cloud platforms
Data modeling
AI/ML concepts
Communication skills

Education

Bachelor's or master's degree in Business, Finance, Economics, IS, CS, Data Analytics

Tools

Power BI
Tableau
Looker

Job description

McKesson is seeking a Manager, Data Analytics to bridge business and technical teams, modernize automations, and drive self-service analytics across pricing, finance, and manufacturing relations. The role centers on translating stakeholder needs into clear requirements and delivering scalable solutions.

You will write production Python, build dashboards, and shape AI-driven approaches, ensuring adoption and measurable impact across the organization.

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