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micro110D AGO

Senior Data Analyst

micro1 / Senior Data Analyst

RATE

$50 - $80/HR

LOCATION

REMOTE (GLOBAL)

DESCRIPTION

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

REQUIREMENTS

  • ▸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.

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