Senior Data Analyst
Listing checked October 12, 2026 · pay as published by Micro1
Overview
This part-time contract role puts you at the center of AI development, where you will assess how well AI handles business data scenarios. You will work with large business data sets, apply quality assurance methods, and flag personally identifiable information (PII) when needed. The position is remote and open to U.S.-based analysts only. Your feedback will directly shape how AI models are trained and evaluated for real-world data work.
What You'll Do5
- 1Examine data sets for personally identifiable information, mark sensitive entries, and follow data privacy rules.
- 2Evaluate AI responses to business and data analysis prompts, then give expert feedback to boost accuracy.
- 3Use quality assurance steps to check data quality, spot inconsistencies, and confirm analytical results are correct.
- 4Build objective evaluation frameworks and grading criteria for judging AI performance on analytical tasks.
- 5Work with product and research teams to improve data, guidelines, and best practices for AI-driven analytics.
Requirements5
- 1Bachelor's degree in business, analytics, statistics, information systems, or a similar field, or equivalent work experience.
- 2At least 3 years as a Business Analyst or Data Analyst handling large business data sets.
- 3Practical experience with QA processes like data validation, reconciliation, and verifying analytical outputs.
- 4Proven ability to manage and analyze large business data sets.
- 5Track record of working with data that contains personally identifiable information and sensitive material.
Who Should Apply
This role fits analysts with 3+ years of experience working with large business data sets, who are comfortable applying QA methods and handling PII. You should have a sharp eye for detail and enjoy evaluating analytical work. It is less suitable for someone who prefers building dashboards or running analyses without reviewing or grading others' work. Candidates often get rejected when they cannot show specific examples of data validation or reconciliation, or when they lack direct experience with PII and privacy practices.
Salary Insight
The compensation for this contract is $50 to $60 per hour. No other pay details are provided in the source.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$80/hour
This role
$50–$60/hr
Most Data Engineering roles pay $50–$105 per hour. This role's pay falls inside that range.
Based on 234 similar roles that publish pay · 36 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 315
- Listed in last 30 days
- 210
- Remote
- 93%
Hiring most right now: micro1 (115) · Turing (46) · Mercor (37)
Most requested skills · share of roles
- python26%
- excel13%
- business analysis9%
- data interpretation9%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
$50–60/hr
Required Skills
Application Tip
In your application, highlight concrete examples of QA work you have done, such as data validation or reconciliation projects, and mention any experience handling PII. Quantify the size of the business data sets you have worked with to show your depth.
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