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)
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