Financial Analyst - Merchandising

Circle K Stores, Inc.•Pensacola, FL

37d

About The Position

Essential Functions: Demonstrate thought leadership and be an Ambassador to Data Driven Merchandising initiatives and an enabler for data-driven decision making. Analyze merchandise performance at the department, cluster, vendor, item and location level, including analyzing store, regional, and business unit performance of pricing, promotion, and item assortment metrics. Support MAM in documenting BU level strategic decisions around pricing, promotions, and assortment. Leverage available tools and reporting to provide timely insights on BU Merchandise performance in a way that facilitates data-driven decision making. Organize, summarize, and visualize data into meaningful insights that communicate complex findings to non-analytical peers. 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 support MAM on the annual DDM planning process for the business unit Join our Global Analytical network on data and analytics issues and share experiences with other Business Units. All other duties as assigned to achieve operational excellence in the business unit. 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.

Requirements

Bachelor's degree, or foreign equivalent, in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or a related subject area followed by 2+ years of work experience on data analysis.
Computer skills to include navigational ability in a networked environment and proficiency in Microsoft Word and email applications.
Intermediate to advanced skills in Microsoft Excel, Access and other data visualization platforms (PowerBI, Tableau).
Demonstrated ability to communicate effectively both verbally and in writing.
Ability to manage multiple activities and prioritize projects and tasks.
Demonstration of outstanding analytic skills, logical reasoning, data interpretation and the ability to resolve complex issues.
Experience working with individuals from different organizational functions and at different levels.

Nice To Haves

Experience with SQL is a plus.
Retail experience is an asset.

Responsibilities

Demonstrate thought leadership and be an Ambassador to Data Driven Merchandising initiatives and an enabler for data-driven decision making.
Analyze merchandise performance at the department, cluster, vendor, item and location level, including analyzing store, regional, and business unit performance of pricing, promotion, and item assortment metrics.
Support MAM in documenting BU level strategic decisions around pricing, promotions, and assortment.
Leverage available tools and reporting to provide timely insights on BU Merchandise performance in a way that facilitates data-driven decision making.
Organize, summarize, and visualize data into meaningful insights that communicate complex findings to non-analytical peers.
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 support MAM on the annual DDM planning process for the business unit
Join our Global Analytical network on data and analytics issues and share experiences with other Business Units.
All other duties as assigned to achieve operational excellence in the business unit.
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.