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The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
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.
