Ocean State Job Lot is the Northeast's largest, privately held, closeout retail chain with over 170 stores across the Northeast and Mid-Atlantic; approximately 5,600 associates; and annual sales exceeding $850 million. Since our founding in 1977, we've been helping shoppers buy a lot more of the useful things they need for a lot less of their hard-earned money. We sell an ever-changing array of household goods, apparel, pet supplies, kitchen pantry staples, and seasonal products (such as holiday, gardening, and pool supplies) at a fraction of their typical price.

Ocean State Job Lot is committed to being a progressive company where we put people first. We value our diverse team of associates and continually seek opportunities to strengthen the communities we serve. We promote a positive work-life balance, offering many resources to help our associates with all aspects of their well-being. We also offer a flexible workplace that offers many hybrid roles throughout our corporate departments.

The Ocean State Job Lot Charitable Foundation has a long history of philanthropic leadership, placing emphasis on assisting people in need, including children, veterans and military, those who are homeless, and those struggling with food insecurity; aiding animal rescues, shelters and welfare organizations; and providing support for healthcare programs and services.

Job Description:

The Operations Data Analyst role at Ocean State Job Lot (“OSJL” and “Company”) is focused on empowering Store Operations with data. This position involves developing reports, analyzing key data insights, and training teams to make data-driven decisions.

Key Responsibilities:

Develop and coordinate all Store Operations performance reporting with a focus on creating a comprehensive portfolio of reports.

Extract, transform, and load data from various sources to various destinations.

Create engaging reports using appropriate data metrics, key performance indicators and visualizations that provide key insights to the audience and inform quality business decisions.

Ensure data accuracy and consistency through rigorous data validation and quality checks as well as resolve any data discrepancies.

Liaise with the Business Intelligence team on operations reporting needs and serve as operations subject matter expert, including the creation and input on reporting requirements.

Regularly review business data and apply statistical techniques to identify trends and patterns then communicate findings to corporate and field store operations team members as appropriate.

Apply BADIR data process and other recognized analysis techniques to complex business questions.

Develop data models to forecast future business performance, needs and required resources.

Actively collaborate with data analysts in other departments to ensure comprehensive and consistent reporting on store performance metrics without duplication of effort.

Collaborate with the corporate Merchandising Department to produce and communicate reporting that drives store merchandising execution.

Educate corporate, field and store teams on data interpretation and report use.

Support Operations Planning & Analysis Manager to execute on and improve upon all Store Operations budgeting

Qualifications:

Bachelor's degree or equivalent years of experience is required.

1 year of retail operations experience required.

3 or more years experience in a retail setting is preferred.

Experience in writing business requirements, functional specification, and testing documents is required.

Strong written and oral communication skills are required.

Strong organizational, presentation, and coordination skills are required.

Ability to prioritize, work creatively, and perform tasks in solving problems in time-critical situations are required.

Strong interpersonal skills are required.

Ability to work independently on multiple projects is required.

Proficient in Google platform (i.e., Sites, Slides, Drive, Docs, Sheets).

Experience with SQL and/or other relational databases.

Advanced Microsoft Excel and spreadsheet knowledge is required.

Solid quantitative skills are required.

Strong organizational agility skills to navigate complex environments are required.

Strong office productivity software knowledge and experience are required.