Retail Operations Data Analyst (Middle-Level)

A dynamic $850M+ general merchandise retailer operating over 170 stores across the Northeast and Mid-Atlantic regions. More than 50% of locations are company-owned (over 8 million sq. ft.). The company offers stability, long-term growth, and the opportunity to make a meaningful impact in retail operations.

A mid-level Retail Operations Data Analyst is required for a role that combines analytics (50%) with strong cross-functional communication and support for store teams (50%). The successful candidate will develop reports, analyze business performance, and work closely with store leaders to improve operations, customer experience, and merchandising effectiveness.

Key Responsibilities

Data Analysis & Reporting (50%)

• Develop and maintain Store Operations reporting and dashboards.
• Extract, transform, and load (ETL) data from multiple sources.
• Create reports with clear KPIs, metrics, and visualizations.
• Ensure data accuracy through validation and quality checks.
• Analyze trends, patterns, and performance using statistical methods.
• Build data models and forecasts to support business decisions.
• Apply structured analytical approaches (e.g., BADIR) to solve business problems.

Business Support & Communication (50%)

• Partner with store leaders to support operational decision-making.
• Communicate insights clearly to corporate and field teams.
• Support store teams with data interpretation and report usage.
• Act as a bridge between Operations, Merchandising, and BI teams.
• Contribute to improving customer service and store performance.
• Support merchandising execution through relevant reporting.
• Assist the Operations Planning & Analysis Manager with budgeting processes.

Qualifications

Experience:

• Required: 1+ year of experience in retail operations.
• Preferred: 3+ years of experience in retail or data-related roles.
• Experience with business requirements, functional specifications, and testing.

Technical Skills:

• Advanced Excel / Google Sheets.
• Experience with SQL or relational databases.
• Strong quantitative and analytical skills.
• Proficiency with Google Workspace (Docs, Sheets, Slides, Drive).

Core Competencies:

• Strong communication skills (written and verbal).
• Ability to work independently on multiple projects.
• Strong problem-solving and prioritization skills.
• Ability to operate effectively in a fast-paced environment.

• English B2 (Upper-Intermediate) or higher.

Work Environment

• Remote work at the beginning, then hybrid model (minimum 3 days per week in the office in Gomel or Minsk).
• A reliable home workspace is required (computer, stable internet, video capability).

• Remuneration: based on the results of the interview
• 3:00 PM – 10:00 PM (aligned with EST time zone)