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Merchandise Analytics Manager

Job in Tampa, Hillsborough County, Florida, 33602, USA
Listing for: Circle K Stores, Inc.
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Job Description & How to Apply Below
Job summary:

in the role merchandise analytics manager, you will work alongside our local merchandising teams, as well as our global merchandising excellence and data & analytics organization. You will regularly interact and coordinate efforts with several different parts of the organization like finance, marketing, operations, global merchandising and data and analytics, among others. You will be an ambassador to data driven merchandising (ddm) initiatives, facilitate data-driven decision making and provide feedback to both local, national and global teams on requirements, performance, execution, functionality, and interpretation of organizational data.

The ideal candidate has solid analytical, prioritization and communication skills, as well as the ability to translate data into insights and actions to drive business results.

Essential functions:

Demonstrate thought leadership and be an ambassador to data driven merchandising initiatives and an enabler for data-driven decision making. Actively participate in the ongoing reviews of pricing, assortment, and promotional strategies in connection with business process and planning. Document bu level strategic decisions around pricing, promotions, and assortment. Mechanize driving insights into actions by working with cross-functional partners (i.e., business unit marketing/merchandising teams, global promotional, assortment teams and pricing teams) to identify gaps and make recommendations to improve existing ddm tools and processes.

Use technical expertise to conceptualize and develop new, reusable tools, models, and approaches to provide our partners with insights and recommendations to meet business goals. Actively participate on the annual ddm planning process for the business unit translation of insights and recommendations into stories which are prepared for and delivered to various stakeholders. Join our global analytical network on data and analytics issues and share experiences with other business units.

Mentor junior resources and contribute to their career development. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks; or participating in professional societies. Contributes to team effort by accomplishing determined financial and key result area targets pursuant to company plan guidelines.

Qualifications

Bachelor's degree, or foreign equivalent, in mathematics, statistics, business analytics or a related subject area followed by three or more years of progressive responsibility experience. Have a proven track record of delivering succinct and structured oral and written communications, leading conversations, and offering differentiating perspectives to senior business leaders. Experience driving large scale projects end-to-end, including demonstrated success leading cross-functional teams through ambiguous situations presenting them with clear, practical insights that accelerate business execution.

Demonstration of strategic thinking, logical reasoning, strong communication and presentation skills, data interpretation outstanding analytic skills, and the ability to resolve complex issues. Experience working with individuals from different organizational functions and at different levels. Experience in a supervisory role, managing and developing people. Retail experience is an asset.

Physical requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Complete physical activity inventory of the position includes:

* sit for long periods of time.

* operate computer keyboard and mouse for data entry.

* view computer monitor

* hear and speak via telephone.

* reach forward and/or overhead

* occasionally lift, up to 20 pounds

Work environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made…
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