Merchandise Analytics Manager

Merchandise Analytics Manager

We want you to join our team as a Merchandise Analytics Manager! If you enjoy turning data into insights, solving complex business challenges, and helping teams make informed decisions, this opportunity could be for you.

You will partner with Local Merchandising, Global Merchandising Excellence, Data & Analytics, Finance, Marketing, and Operations to advance Data Driven Merchandising (DDM) initiatives. Your work will help shape pricing, promotions, and assortment strategies through internal performance analysis and syndicated market data, including NielsenIQ and Circana.

As a Merchandise Analytics Manager, you will enjoy:

• Annual salary range of $70,000–$85,000.
• Medical, dental, and vision insurance.
• Company-paid basic life insurance, accidental death and dismemberment insurance, and short-term disability coverage.
• Optional supplemental life, long-term disability, accident, critical illness, and hospital indemnity coverage.
• 401(k) retirement plan with company matching contributions after meeting service requirements.
• Health Savings Account and Flexible Spending Account options.
• Paid vacation, personal time, and sick time according to company policy and eligibility.
• Tuition reimbursement of up to $5,000 annually for eligible job-related courses and degree programs.
• Employee Stock Purchase Plan with company matching contributions, subject to eligibility.
• Employee discounts on Circle K fuel, food, and drinks.
• Employee Assistance Program offering confidential counseling and work-life, legal, and financial resources.
• Employee well-being programs and resources.

Your key responsibilities:

• Champion DDM initiatives and help teams use data to guide business decisions.
• Participate in ongoing reviews of pricing, assortment, and promotional strategies as part of business planning, and document Business Unit strategic decisions.
• Contribute to the Business Unit’s annual DDM planning process.
• Partner with Business Unit Marketing and Merchandising teams and Global Promotion, Assortment, and Pricing teams to turn insights into action, identify gaps, and recommend improvements to DDM tools and processes.
• Develop reusable analytical tools, models, and approaches that provide actionable insights and support business goals.
• Analyze market share, category performance, and competitive trends using NielsenIQ and Circana syndicated data, including point-of-sale, scan, and consumer panel data, to identify growth opportunities, share gaps, and risks.
• Combine syndicated market data with internal sales, margin, and loyalty data to deliver a complete view of performance and recommendations for Local, National, and Global teams.
• Regularly monitor and report on market share, pricing, promotional effectiveness, and assortment performance against competitors, proactively identifying emerging trends.
• Partner with Global Data & Analytics and external data providers to maintain data quality, consistent definitions, and appropriate use of syndicated data sources and licenses.
• Use SQL, Power BI, Excel, and AI-assisted analytics to automate reporting and expand access to insights across the Business Unit.
• Translate complex findings into clear stories, presentations, and recommendations for stakeholders at all levels.
• Participate in the Global Analytical Network, collaborating on data and analytics issues and sharing experiences across Business Units.
• Mentor junior team members and support their professional development.
• Maintain professional and technical knowledge through educational workshops, publications, professional networks, and industry organizations.
• Support team success by achieving financial and Key Result Area targets established in company plans.

You are good at:

• Applying strategic thinking, logical reasoning, and strong analytical skills to complex business challenges.
• Turning data into clear, practical recommendations that improve business execution.
• Delivering concise, structured written and verbal communication, leading discussions, and presenting informed perspectives to senior leaders.
• Prioritizing work and managing large projects from start to finish.
• Leading cross-functional teams through ambiguous situations.
• Building relationships across departments and organizational levels.
• Managing, mentoring, and developing people.

What you’ll need:

• Bachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or a related field, followed by at least three years of progressively responsible experience.
• Strong market share analysis skills and hands-on knowledge of NielsenIQ and Circana, formerly IRI, data, tools, and methodologies.
• Proficiency in data analysis and visualization tools such as Excel, SQL, and Power BI or Tableau.
• Demonstrated success leading large projects and cross-functional initiatives from start to finish.
• Experience communicating insights and recommendations to senior business leaders.
• Experience collaborating with individuals across different organizational functions and levels.
• Supervisory experience managing and developing employees.

Great if you have:

• Experience using syndicated data within convenience retail, grocery, fuel, or consumer packaged goods environments.
• Experience with Python or R.
• Retail experience.

Physical Requirements:

The following physical demands are representative of those required to perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

• Sit for extended periods.
• Operate a computer keyboard and mouse for data entry.
• View a computer monitor.
• Hear and speak by telephone.
• Reach forward and overhead.
• Occasionally lift up to 20 pounds.

Work Environment:

The following conditions are representative of the work environment for this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• An office environment with moderate noise levels.
• Natural and fluorescent lighting throughout work areas.
• Work performed with minimal direction and periodic supervision.

The statements above describe the general qualifications, duties, and responsibilities of this position and are not intended to include every specific job requirement. This job description may change periodically based on business needs, with or without advance notice.

In English

In Spanish