Retail Operations Data Analyst (Mid-Level)

In a dynamic general merchandise retailer operating over 170 stores across the Northeast and Mid-Atlantic we are looking for Retail Operations Data Analyst (Mid-Level).

Employment Type: Full-Time.
Work Type: Remote / Hybrid
Location: Gomel / Minsk

The Retail Operations Data Analyst is a mid-level role focused on supporting Store Operations through data-driven insights. This position combines analytics (50%) with strong cross-functional communication and support for store teams (50%).
You will develop reports, analyze business performance, and work closely with store leaders to improve operations, customer experience, and merchandising effectiveness.
From time to time the working schedule may shift to align with the EST (U.S.) time zone, for example from 3:00 PM to 10:00 PM.

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 and metrics
Assist Operations Planning & Analysis Manager with budgeting processes

Collaboration
Work closely with Business Intelligence teams on reporting requirements
Collaborate with Merchandising to align reporting with store execution
Coordinate with analysts across departments to ensure consistency and avoid duplication

Training & Development
Participate in training on internal systems and data tools
Build a strong understanding of retail operations and data flows
Continuously improve analytical and business knowledge

Qualifications:
Experience
Bachelor’s degree or equivalent experience
1+ year of retail operations experience required
3+ years of experience in retail or data-related roles preferred
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 level B2 or higher (required)

Work Environment:
Remote work at the beginning, then hybrid model (minimum 3 days per week in the office)
Requires a reliable home setup for remote work (equipment, internet, video capability)

Contacts: Anastasia — @anastasiyabukh