Senior Data Analyst

Remolity, Inc.

Northern (KY)

Remote

USD 55,000 - 83,000

Part time

14 days+
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Benefits offered by this job

Remote part-time contract work

Job summary

Remolity, Inc. is seeking a Senior Data Analyst for a remote part-time role in the United States. You will review large business data sets, ensure data privacy, and help evaluate AI-driven analytics.

This position emphasizes QA, PII handling, and meticulous data analysis, working with product and research teams to improve data quality and evaluation frameworks.

Qualifications

  • Bachelor's degree or equivalent professional experience.
  • 3+ years of experience with large business data sets.
  • Hands‑on experience with QA data validation and verifying outputs.
  • Experience handling personally identifiable information (PII).
  • Demonstrated expertise in analyzing large business data sets.

Responsibilities

  • Review data sets for PII and apply privacy best practices.
  • Assess AI responses and provide expert feedback to improve accuracy.
  • Apply QA practices to validate data quality and flag inconsistencies.
  • Create evaluation frameworks to assess AI performance on analytics tasks.
  • Collaborate with product and research teams to refine data and guidelines.

Skills

Data analysis
QA processes
PII handling

Education

Bachelor's degree in business/analytics/statistics/information systems

Tools

SQL
Excel
BI/Visualization tools

Job description

Senior Data Analyst

Remote — United States only

Personal identifiable information Quality assurance Attention to detail Data analysis Business data sets

Special Referral gives your application an enhanced referral route, helping it stand out and potentially improving your chances of being considered.

About the role

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.

Scope of Work
  • 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.
What you’ll bring
  • 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.
Benefits
  • Remote part‑time contract work
Schedule and availability

Part‑time; weekly hours are not specified.

Where you can work

This role is open to people based in: United States.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.

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