Data Analyst - 26-14683


Compu-Vision - Northeast
New York, New York
Locations: New York, Bronx, Brooklyn, Yonkers
Posted On: October 20, 2026
Last Day to Apply: October 27, 2026
Pay: From $25.00 per hour

Job Title: Data Analyst

Location: New York, NY

Duration - 6+ Months (NO BENEFITS)
Schedule: Part-time, 10 hours per week

Job Summary

We are seeking a Data Analyst to support database development, data management, reporting, quality assurance, and data analysis across multiple organizational units. The ideal candidate will have experience with Microsoft platforms and low-code/no-code solutions, along with the ability to organize and analyze data, develop reports, and train staff on database applications and related systems.

Key Responsibilities

  • Design, develop, and maintain databases, data systems, and applications using Microsoft platforms and low-code/no-code solutions.

  • Identify business needs and develop database solutions to support operational requirements across multiple departments.

  • Provide data support for quality assurance processes and reporting initiatives.

  • Develop, maintain, and improve reports to support departmental operations and decision-making.

  • Train staff on the use of low-code/no-code database solutions and other relevant systems.

  • Collect, organize, validate, and analyze data from multiple sources.

  • Prepare data summaries, reports, and presentations for leadership review.

  • Identify data quality issues and recommend improvements to data collection, management, and reporting processes.

  • Perform other related duties as required.

Required Qualifications and Preferred Skills

  • Experience in data analysis, database development, and reporting.

  • Familiarity with Microsoft platforms and low-code/no-code application development.

  • Experience designing and maintaining databases, data systems, or business applications.

  • Ability to organize, analyze, and interpret data to support operational and strategic decisions.

  • Experience preparing reports and presenting findings to leadership or stakeholders.

  • Strong communication and training skills, with the ability to explain technical concepts to nontechnical users.

  • Strong analytical, organizational, and problem-solving skills.

  • Attention to detail and a commitment to data accuracy and quality.

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