RemoteJobsOne
Senior Data Analyst – Remote (US)
Los Angeles, California, US
Role snapshot
RemoteJobsOne is hiring a Senior Data Analyst – Remote (US) on a full-time basis. This is a remote role open to candidates in US.
- Company
- RemoteJobsOne
- Location
- Los Angeles, California, US
- Work mode
- Remote
- Job type
- Full-time
- Experience
- 3+ years
- Posted
- Oct 27, 2026
Who this role suits
Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.
How to prepare your application
- Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
- Be ready to discuss trade-offs and scope, not only the tools you have used.
- Read what RemoteJobsOne publishes about its product or team, so you can say clearly why this role and this company.
- For remote roles, show that you communicate clearly in writing and can work without close supervision.
Apply only on RemoteJobsOne's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.
This is a fully remote position, open to candidates based in United States.
Pay: $50–$60/hr
Role Title: Senior Data Analyst
Role Type: Contractor
Location: Remote, US Based only
Job Summary: We are seeking seasoned U.S.-based Senior Data Analysts for a part-time role at the forefront of AI. This opportunity is for accomplished data professionals who want to help shape how advanced AI is trained, evaluated, and applied to real-world data work. We are especially interested in analysts with deep experience working with large business data sets, strong quality assurance practices, and a meticulous eye for detail. Experience handling personally identifiable information (PII) is a plus.
Key Responsibilities:
- Review data sets for PII, flagging sensitive information and following data privacy best practices.
- Review and assess AI responses to data and business analysis scenarios, providing expert feedback to improve accuracy and precision.
- Apply QA practices to validate data quality, flag inconsistencies, and verify the correctness of analytical results.
- Create objective evaluation frameworks and grading criteria to assess AI performance on analytical tasks.
- Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven analytics.
Required Skills and Qualifications:
- Bachelor's degree in business, analytics, statistics, information systems, or a related field (or equivalent professional experience).
- 3+ years of experience as a Business Analyst or Data Analyst working with large business data sets.
- Hands-on experience with QA processes, such as data validation, reconciliation, and verifying analytical outputs.
- Demonstrated expertise in handling and analyzing large business data sets.
- Proven experience managing data containing personally identifiable information (PII) and sensitive material.
Preferred Qualifications:
- Familiarity or experience working with PII, including data privacy and handling best practices.
- Proficiency with SQL, Excel, and BI or visualization tools.
- Advanced degree or professional certification in business analysis or data analytics.
- Prior exposure to AI, data labeling, or model evaluation initiatives.
How to apply
Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.