Job Description
Job DescriptionJob 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
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Design, develop, and maintain databases, data systems, and applications using Microsoft platforms and low-code/no-code solutions.
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Identify business needs and develop database solutions to support operational requirements across multiple departments.
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Provide data support for quality assurance processes and reporting initiatives.
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Develop, maintain, and improve reports to support departmental operations and decision-making.
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Train staff on the use of low-code/no-code database solutions and other relevant systems.
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Collect, organize, validate, and analyze data from multiple sources.
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Prepare data summaries, reports, and presentations for leadership review.
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Identify data quality issues and recommend improvements to data collection, management, and reporting processes.
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Perform other related duties as required.
Required Qualifications and Preferred Skills
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Experience in data analysis, database development, and reporting.
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Familiarity with Microsoft platforms and low-code/no-code application development.
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Experience designing and maintaining databases, data systems, or business applications.
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Ability to organize, analyze, and interpret data to support operational and strategic decisions.
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Experience preparing reports and presenting findings to leadership or stakeholders.
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Strong communication and training skills, with the ability to explain technical concepts to nontechnical users.
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Strong analytical, organizational, and problem-solving skills.
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Attention to detail and a commitment to data accuracy and quality.