Company Overview
Walgreens is part of the U.S. Retail Pharmacy segment of Walgreens Boots Alliance, Inc. (Nasdaq: WBA), a global leader in retail pharmacy and healthcare. As America’s most trusted pharmacy, health, and beauty destination, Walgreens is dedicated to helping people live healthier, more joyful lives.
With nearly 9,000 retail locations across the United States, Puerto Rico, and the U.S. Virgin Islands, Walgreens serves as a cornerstone of community health, reaching approximately 9 million customers daily. Our pharmacists play a pivotal role in the U.S. healthcare system, delivering essential pharmacy and healthcare services to patients and customers alike.
To meet the evolving needs of the communities we serve, Walgreens provides a seamless omnichannel experience, blending in-store and digital platforms. By leveraging cutting-edge technology, we ensure convenient access to high-quality products and healthcare solutions for customers nationwide.
Job Responsibilities
- Apply advanced data analytics techniques to deliver actionable insights and recommendations that drive business decisions.
- Utilize sophisticated statistical models to forecast outcomes across multiple scenarios.
- Interpret complex data sets and communicate insights effectively to business stakeholders to enhance products and processes.
- Lead or contribute to the development of data-driven commercial solutions and intellectual property (IP).
- Conduct statistical and mathematical analyses to support key business strategies and initiatives.
- Design and implement algorithms and predictive models to assess scenarios and potential future trends.
- Apply analytical rigor and leverage advanced statistical methodologies such as predictive modeling, customer segmentation, survey design and analysis, and data mining.
- Document all aspects of projects including business objectives, data collection and processing, methodologies, model outputs, and analytical metrics.
- Create comprehensive reports and presentation materials to clearly convey findings to stakeholders.
- Identify and resolve project challenges and roadblocks efficiently.
- Collaborate with internal teams, management, and external partners to exchange relevant information and ensure alignment on project goals.
- Deliver data insights and project interpretations to internal clients and business audiences.
Basic Qualifications
- Bachelor’s degree with a minimum of 2 years’ experience in quantitative or computational roles, or a graduate degree in a quantitative, computational, or technical field.
- Proficient in SQL.
- Hands-on experience in data science, advanced analytics, or statistical analysis.
- Strong ability to analyze data, derive insights, and present findings to business stakeholders.
- Familiarity with open-source data science tools and programming languages such as Python, R, Spark, or similar.
- Proven ability to build and maintain relationships within a matrixed organization, including peers, business partners, leadership, and external stakeholders.
- Skilled in identifying trends, anomalies, or issues within datasets to drive continuous improvement and business solutions.
- Willingness to travel up to 10% of the time for business purposes (in-state and out-of-state).
Preferred Qualifications
- A graduate degree in a quantitative, computational, or technical discipline is strongly preferred.
Additional Information
We are committed to equal opportunity employment and will consider qualified candidates with arrest and conviction records.