Senior Price & Promo Analytics Lead

Walgreens Co.; Deerfield (IL); On-site; USD 65,000 - 114,000; Full time

Job summary

Walgreens Co. seeks a Senior Value Analyst, Price-vs-Promo Analytics, to shape pricing and promotional decisions in a fast-paced retail setting.

You will evaluate performance, develop test-and-learn scenarios, and identify opportunities to improve investment effectiveness across categories. You will collaborate with category, merchandising, and business partners to translate complex data into actionable recommendations, helping teams understand performance and make timely retail decisions.

Qualifications

• Bachelor’s degree and at least 1 year of experience in promotions, marketing, retail, analytics, pricing, and related areas.
• Experience with MS Office Suite.
• Strong time management and ability to manage multiple projects with deadlines.
• Experience analyzing and reporting data to identify issues, trends, or exceptions to drive improvements.
• Willing to travel up to 10% for business (within state and out of state).

Responsibilities

• Performs operating activities impacting Customer Loyalty & Insights processes and may include vendor collaboration, pricing, promotion, and consumer research.
• Develops and executes high-profile plans to enhance awareness, market share, and initiatives.
• Analyzes results, interprets trends, and communicates findings to stakeholders.
• Reviews alignment of strategies with outcomes and recommends adjustments.
• Participates in budgeting and program development to meet objectives.
• Builds relationships with internal/external partners and mentors teammates.

Skills

Promotions

Marketing

Retail analytics

Pricing strategies

Consumer research

Vendor collaboration

Category management

Business analysis

Data analysis

Collaboration

Travel willingness

MS Office

Education

Bachelor’s degree

High school / GED

Tools

MS Office Suite

Job description

Walgreens Co. seeks a Senior Value Analyst, Price-vs-Promo Analytics, to shape pricing and promotional decisions in a fast-paced retail setting.

You will evaluate performance, develop test-and-learn scenarios, and identify opportunities to improve investment effectiveness across categories. You will collaborate with category, merchandising, and business partners to translate complex data into actionable recommendations, helping teams understand performance and make timely retail decisions.