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# Data Quality Analyst

- **Company:** Manpower
- **Location:** Menlo Park, CA, United States (Remote available)
- **Salary:** $45,760.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Spreadsheets, Cognitive Science, Information Systems, Human-Computer Interaction, Microsoft Office, Microsoft PowerPoint, Gsuite
- **Published:** October 31, 2026
- **Apply:** https://dejobs.org/x/x/0FAEE1575E5D4442AB54CFCF8BA2B04B/job/

## About the Role

Our client, a technology-focused organization, is seeking a Data Quality Analyst to join their team. As a Data Quality Analyst, you will be part of the Data Quality Analytics team, supporting Product, Program, and Operations groups. The ideal candidate will have a strong attention to detail, the ability to follow structured guidelines with consistency, and the communication skills to collaborate across teams and share clear findings., * Bachelor's degree in technology or behavioral science (e.g., human-computer interaction, psychology, statistics, cognitive science, information systems, or related field).

 * Ability to follow instructions and guidelines in a detail-oriented fashion, while also spotting inefficiencies and proposing improvements.
 * Strong communication and collaboration skills, with experience working cross-functionally.
 * Ability to manage time effectively, prioritize tasks, and maintain quality and efficiency.
 * Self-motivated work style with the ability to manage workload independently, plus proficiency with G-suite (Docs, Spreadsheets, Slides) or MS Office (Excel and PowerPoint).

## Description

* Conduct reviews of annotations or data collections to determine quality and importance of data.
 * Consistently apply quality methodology, guidelines, and rubric when labeling and annotating large data sets.
 * Use in-house data labeling platforms to complete annotation tasks while managing multiple concurrent projects.
 * Identify errors and trends, then report analysis and findings to relevant stakeholders.
 * Serve as a subject matter expert and thought leader by authoring, updating, and owning guidelines and SOPs that improve data quality.