Junior Data Analyst

CRG; Remote; USD 60,000 - 80,000; Full time

Job summary

A leading retail client seeks an entry-level Data Analyst to support data quality and validation efforts. This remote position requires a Bachelor’s degree in a relevant field and 1-3 years of experience. Responsibilities include analyzing data, ensuring data integrity, and identifying data anomalies. The ideal candidate will have strong attention to detail and familiarity with data tools like Excel. Join a company dedicated to sustainable retailing and work-life balance, with opportunities for overtime.

Qualifications

• Bachelor’s degree in a relevant field or equivalent experience.
• 1-3 years of experience in data analysis.
• Solid understanding of data quality principles.

Responsibilities

• Collect, analyze, and validate data prior to its storage and final use.
• Implement data quality and validation checks.
• Investigate and resolve data anomalies and inconsistencies.

Skills

Data analysis

Attention to detail

Problem-solving

Statistical modeling

Data validation

Education

Bachelor’s degree in Data Analytics, Statistics, Mathematics, Finance, or Computer Science

Tools

Excel

Google Sheets

Job description

Location: Remote

Salary: $25-$28/hr W2

Contract: 3 Month

Our Retail client with over $80B in annual revenue has over 2,000 stores, across 21 US states, with over 400,000 employees. This company is a leader in sustainable retailing with a passion for delivering excellence. By driving omni channel growth, efficiency in the shopping experience and continuing to develop with new technologies; this company is growing and developing continuing success. The leadership team strives for work‑life balance for all its employees, with options for overtime if desired.

We are seeking an entry-level Data Analyst to support data quality, validation, and analysis efforts across the organization. This role focuses on ensuring the accuracy, integrity, and usability of data before it is stored or delivered for internal or client‑facing use. The ideal candidate is detail‑oriented, analytical, and comfortable working with structured data under close guidance.

Key Responsibilities

• Collect, analyze, and validate data prior to its storage and final use by the organization and/or clients
• Apply standard statistical and/or basic financial models to assess data accuracy and acceptability
• Ensure data integrity by implementing data quality and validation checks
• Identify, gather, and enter missing data as required
• Investigate and resolve data anomalies, inconsistencies, or errors
• Document findings and communicate issues or trends to senior team members
• Identify opportunities to improve data collection processes or systems and provide recommendations
• Support Extract, Transform, and Load (ETL) processes in collaboration with database or data warehouse teams

Required Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Finance, Computer Science, or a related field (or equivalent experience)
• 1‑3 years of experience
• Solid understanding of data analysis concepts and data quality principles
• Familiarity with spreadsheets and basic data tools (e.g., Excel, Google Sheets)
• Strong attention to detail and problem‑solving skills
• Ability to follow defined procedures and work effectively under supervision

Category Code: JN008