远程高级数据分析师（美国远程-合同）
us Senior Data Analyst | Remote - Contract
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.
Required Skills
- Personal Identifiable Information
- Quality Assurance
- Attention to Detail
- Data Analysis
- Business Data Sets
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.
Originally posted on Himalayas