BI & Automation Specialist — Dashboards & Workflows

McKesson Corporation; Richmond (VA); On-site; USD 89,000 - 148,000; Full time

Job summary

McKesson is seeking a Business Intelligence & Automation Analyst to serve as a key analytics partner for an assigned business area, transforming complex needs into scalable reporting and automation solutions.

You will own dashboards, reporting, and automated workflows to improve data access, reduce manual effort, and inform business decisions using SQL, Power BI or Looker, Python, Power Automate, and cloud data warehouses.

Qualifications

• Demonstrated experience in business intelligence, data analytics, reporting, or analytics automation.
• Hands-on experience developing production dashboards with Power BI or Looker.
• Advanced SQL experience, including complex queries, joins, CTEs, window functions, and data transformation.
• Hands-on experience using Python for data processing, reporting, or automation.
• Experience with workflow or process automation using Power Automate, RPA tools, Google Apps Script, JavaScript, or comparable technology.
• Experience with cloud data platforms such as Snowflake or Google BigQuery.

Responsibilities

• Serve as the primary analytics partner for an assigned business area, developing an understanding of business processes, data sources, KPIs, and reporting needs.

Skills

BI & analytics

Dashboard development

Advanced SQL

Python

Automation workflows

Cloud data platforms

Education

Bachelor's degree or equivalent

Tools

Power BI

Looker

Python

Power Automate

Google Apps Script

JavaScript

Snowflake

Google BigQuery

Job description

McKesson is seeking a Business Intelligence & Automation Analyst to serve as a key analytics partner for an assigned business area, transforming complex needs into scalable reporting and automation solutions.

You will own dashboards, reporting, and automated workflows to improve data access, reduce manual effort, and inform business decisions using SQL, Power BI or Looker, Python, Power Automate, and cloud data warehouses.