Merchandise Analytics Manager

Couche-Tard; Minnetonka (MN); On-site; USD 70,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Company-matched 401(k)

Health Savings Account (HSA)

Paid vacation, personal time, and sick

Tuition reimbursement

Employee stock purchase plan

Employee discounts

Employee Assistance Program

Well-being programs

Job summary

Couche-Tard is seeking a Merchandise Analytics Manager to translate data into strategic business actions. You will collaborate across Local and Global Merchandising, Data & Analytics, Finance, Marketing, and Operations to shape pricing, promotions, and assortment strategies using internal data and syndicated market data (NielsenIQ/Circana).

You will leverage SQL, Power BI, and Excel to automate reporting, monitor market share, and deliver insights to senior leadership.

Qualifications

• Bachelor's degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or a related field.
• 3+ years progressively responsible experience.
• Proficiency in data analysis and visualization tools like Excel, SQL, Power BI or Tableau.

Responsibilities

• Champion DDM initiatives and help teams use data to guide business decisions.
• Review pricing, assortment, and promotional strategies and document strategic decisions.
• Contribute to the Business Unit's annual DDM planning process.
• Partner with Marketing and Merchandising teams to turn insights into actions and improve DDM tools.
• Develop reusable analytical tools and models to provide actionable insights.

Skills

Analytical skills

Communication

Cross-functional leadership

Project management

Education

Bachelor's degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related field

Tools

Excel

SQL

Power BI

Tableau

Job description

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 acro