Manager Political Science Data Analytics Jobs in Texas

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
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Manager, Data Analytics
We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work.
Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role.
Key Responsibilities

• Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions
• Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team
• Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions
• Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly
• Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen

Minimum Requirement
Degree or equivalent and typically requires 7+ years of relevant experience.
Education
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
Critical Skills

• 7+ years in analytics, business intelligence, or a similar role.
• Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
• Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
• Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
• Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
• Solid understanding of data modeling and BI best practices
• Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows

Additional Skills

• Experience replacing or modernizing RPA automations
• Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
• Background in healthcare, pharma, or distribution

This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.
McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.
If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$114,200 - $190,400
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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