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.