Store Operations Intern

Description

Ocean State Job Lot (“OSJL” or the “Company”) is a dynamic $850+ million general merchandise retailer with a strong foothold across the Northeast and Mid-Atlantic. With over 170 stores currently and ambitious plans to reach 180 locations, OSJL offers exciting opportunities for growth and contribution. We are an opportunity-driven retailer owning over 50% of our operating locations, totaling 8 million square feet, demonstrating our stability and long-term vision. At OSJL, you will be part of a team committed to delivering exceptional value to our customers while driving positive change and a more responsible future for retail within our communities.

Job Summary:

The Store Operations Intern role at Ocean State Job Lot (“OSJL” and “Company”) is a paid, full-time, temporary position designed to help students develop a broad knowledge of the Company and build the OSJL brand. Specifically, the Store Operations Intern role will spearhead a mission-critical project focused on Advanced Sales Modeling via Machine Learning. While current modeling is based on simple averages, this role aims to revolutionize sales forecasting by building a sophisticated, predictive model using Domo Machine Learning tools.

Key Responsibilities:

Project-Specific Duties (Machine Learning & Analytics):

• Move beyond "average store performance" benchmarks to create a dynamic model that drives accurate labor planning and performance targets.
• Leverage complex data sets from Finance, Human Resources, Marketing, Real Estate, and Supply Chain to create a holistic view of performance.
• Assist in providing leadership with a factual, granular basis for setting store targets and evaluating performance, moving from "averages" to "machine learning".
• Contribute to a model that ensures the right amount of staff is scheduled at the right times, reducing waste and improving service.

General Internship Duties:

• Prepare and deliver a final presentation to OSJL executive leadership and ownership at the conclusion of the program, summarizing key projects, insights, and achievements.
• Participate in weekly educational programming and development workshops designed to enhance professional skills and industry knowledge.
• Attend in-person and virtual events to build relationships across the Company.
• Shadow associates to gain an understanding of department roles and assist with projects in furtherance of department objectives.
• Acquire an understanding of the business environment, conduct, compliance, and ethics of a retail organization.

Qualifications:

• Enrollment in an Associate’s or Bachelor’s degree program is required, with strong academic credentials.
• This project requires a candidate with advanced analytical capabilities and a specific focus on data modeling and machine learning.
• Experience using Microsoft Suite and the ability to learn and use Google platforms. Familiarity with Domo Machine Learning tools is relevant to the project goal.
• Ability to maintain uninterrupted focus on an intensive "build" phase, distinct from daily operational tasks.
• Ability to work a full-time schedule. Must have reliable transportation to attend program educational experiences at different Company locations.

Work Environment:

• This role follows a hybrid model with a mandatory minimum of 3 days in the office per week. Hybrid work options are not guaranteed and are subject to change at any time based upon Company policy, associate performance, and business needs.
• Work is primarily performed in a climate-controlled office environment, sitting at a desk or computer workstation for extended periods.
• Within Company locations, the intern may be assigned a Company computer. When working remotely, the intern is responsible for setting up a professional workspace and must be available during working hours.
• Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

This job description does not list all the duties of the job. You may be asked by supervisors or managers to perform other job duties and tasks, some of which may be essential to the position. Leadership has the right to revise this job description at any time. The job description is not a contract, either express or implied. You are an at-will employee, meaning either you or the Company may terminate your employment at any time, with or without notice.

All undergraduate interns will be paid $17.00/hr and all graduate assistants will be paid $19.00/hr.