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# Junior Data Analyst

- **Company:** CAREERSCAPE LLC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Starter
- **Salary:** $55,000 - $68,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Cleansing, Data Files, Data Visualization, Document-Oriented Databases, Raw Data, Power BI, SQL Databases, Tableau (Software)
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/junior-data-analyst-new-york-ny--c9fb6ec5-f2e9-44b8-a9fb-ecd577f65b3b

## About the Role

Data Analysis, Data Analysis, Analysis Skills, Reporting Dashboards, Detail Oriented, Data Cleaning, Data Sets, Trend Analysis, Data Quality, Cross-Functional, * Bachelor's degree in a quantitative field or equivalent practical experience

 * Basic proficiency in Excel or Google Sheets
 * Familiarity with SQL or willingness to learn quickly
 * Strong attention to detail and organizational skills
 * Ability to communicate technical findings in plain language
 * Comfortable working independently in a remote environment
 * Exposure to data visualization tools such as Tableau or Power BI is a plus
 * Basic understanding of statistics
 * Strong problem-solving mindset

## Description

Careerscape is recruiting on behalf of our client, a growing New York-based organization, for a Junior Data Analyst to join their analytics team. This fully remote role is a great fit for someone early in their career who loves digging into numbers, spotting trends, and turning raw data into insights that help teams make smarter decisions., * Collect, clean, and organize data from internal and external sources

 * Build and maintain recurring reports and dashboards
 * Analyze datasets to identify trends, patterns, and anomalies
 * Support senior analysts with ad hoc data requests
 * Document data definitions, processes, and report logic
 * Assist in validating data accuracy across systems
 * Present findings in clear, digestible formats for non-technical stakeholders
 * Collaborate with cross-functional teams to understand reporting needs
 * Monitor key metrics and flag unusual changes
 * Help maintain data quality standards and best practices