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Form of workJob Description
Job Title: Data Quality Analyst
Location – New York, NY 10036
Initial Duration – 3+ months (can go much longer term)
Shift Time 08:00 AM - 8:30 PM
Pay range: $55 - $60/Hr. on W2
Note: Other departments and locations available.
Summary Of Duties And Responsibilities:
Education:
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Location – New York, NY 10036
Initial Duration – 3+ months (can go much longer term)
Shift Time 08:00 AM - 8:30 PM
Pay range: $55 - $60/Hr. on W2
Note: Other departments and locations available.
Summary Of Duties And Responsibilities:
- The Humanitarian Emergency Response and Relief Centers (HERRC) is looking for a Data Quality Analyst to join the Data, Analytics and Product Development Team, dedicated to organizing, analyzing, and communicating data as well as building technology solutions, to support and inform programmatic and operational efforts of the initiative.
- Reporting to the Data Quality Unit Director in the Data, Analytics and Product Development Team, the Data Quality Analyst will be responsible for: Ensuring standard handling and representation of data.
- Assisting in development of processes and coding to classify and standardize data for meaningful use/analyses to advance the programmatic effectiveness of Test and Trace Corps initiatives Validating data for completeness and accuracy based on guidelines set by pillar stakeholders or data management systems including working with data providers to improve data management workflow.
- Collaborating with data staff and other departments within the Data, Analytics and Product Development Team to identify and mitigate potential data issues Regulating and assisting with advising protocols and processes to uphold the cleanliness of data produced by data managers, data scientists, and data analysts Cleaning large datasets as needed in a timely and thorough manner Auditing and reporting the quality control (QC) of data analysis and visualizations that are generated for Test and Trace Corps functions and needs
Education:
- Ability to work autonomously, think analytically, and anticipate data issues to solve before they arise.
- Excellent written and verbal communication skills, with the ability to explain data systems to non-technical teams.
- Strong quality control abilities and exceptional attention to detail
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