Data-Driven Merchandise Analytics Lead

Circle K

Hopkins (MN)

On-site

USD 70,000 - 85,000

Full time

41 hours ago

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Benefits offered by this job

Medical, dental, and vision insurance

Company-paid life, AD&D, and short‑/s(

401(k) with company match

Health Savings Account (HSA) and FSA

Paid vacation, personal time, and sick

Tuition reimbursement up to $5,000 per

Employee Stock Purchase Plan with C

Employee discounts on Circle K fuel, f

Employee Assistance Program

Well-being programs

Job summary

Circle K seeks a Merchandise Analytics Manager to turn data into insights that shape pricing, promotions, and assortment strategies. You will partner with Local and Global teams and use syndicated data from NielsenIQ and Circana to identify growth opportunities and risks.

Responsibilities include developing analytical tools, monitoring market share and promotional effectiveness, and mentoring junior staff. A background in analytics, data visualization, and cross-functional collaboration is

Qualifications

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 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.

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 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.