Associate Sales Professional - Moncton

Manitoulin Transport; City of Moncton; Remote; CAD 50,000 - 69,000; Full time

Job summary

Manitoulin Transport is seeking a data-focused professional to lead merchandising analytics and enable data-driven decision making across departments and regions.

You will analyze performance metrics, summarize insights, and build reusable tools to improve pricing, promotions, and assortment decisions, collaborating with Marketing, Merchandising and Pricing teams.

Qualifications

• Bachelor’s degree or foreign equivalent in Mathematics, Computer Science, Engineering, Statistics, Business Analytics or related field with 2+ years of data analysis experience.
• Proficiency in Microsoft Word and email applications; intermediate to advanced Excel, Access, and data visualization tools.

Responsibilities

• Analyze merchandise performance at department, cluster, vendor, item and location level.
• Support BU decisions on pricing, promotions and assortment.
• Organize, summarize and visualize data to communicate insights to non-analytical peers.
• Develop reusable tools and models to guide data-driven decisions.
• Collaborate with cross-functional teams to close gaps and improve DDM tools and processes.

Skills

Analytics-focused

SQL

PowerBI/Tableau

Excel

Education

Bachelor’s degree (Math/CS/Engineering/Stats/Business Analytics)

Tools

PowerBI

Tableau

SQL

Excel

Job description

Job Description

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.

CA$50,000.00 yearly

Full-time

CA$30.00–CA$32.50 hourly

CA$55,000.00–CA$65,000.00 yearly

Full-time

Remote

Full-time

Remote

Permanent, Full-time

CA$80.00 hourly

Full-time, Part-time

CA$40,000.00 yearly

Remote

CA$69,000.00 yearly

Remote

Full-time

Permanent

Permanent, Full-time

Qualifications

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

Physical Requirements

• 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 to enable individuals with disabilities to perform the essential functions of this job. Working conditions inventory of the position includes:

• The noise level in the work environment is usually moderate at a normal range.
• The lighting will include natural light from the outside as well as fluorescent lighting throughout the work areas.
• Work with minimum direction and periodic supervision.

THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS / DUTIES AND /OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.

NOTE: This Job Description may change periodically as required by business necessity, with or without advance notice to employees.

Couche-Tard/Circle K values diversity and inclusion and aims to create a safe, accessible and rewarding workplace that showcases the unique contribution of our employees to the success of our business. As an employer, we are committed to employment equity, we encourage a wide variety of applications to ensure that we have a diverse workforce that is representative of the customers and the communities we serve. Accommodations are available upon request for applicants who participate in all aspects of the selection process.