Senior Data Analyst

Remotebridge; United States; Remote; USD 55,000 - 124,000; Part time

Job summary

Remotebridge seeks an experienced Senior Data Analyst (Contractor) for a part-time, remote role based in the United States. The candidate will analyze large datasets, validate data quality, and ensure privacy compliance, particularly with PII.

The position emphasizes rigorous QA and collaboration with product and research teams to improve AI-driven analytics. The role requires 3+ years in data analysis, a related degree, and proven experience handling sensitive data.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 3+ years as Business/Data Analyst with large datasets.
• Hands-on QA: data validation, reconciliation, accuracy checks.
• Experience handling PII and sensitive data in analytics.

Responsibilities

• Review data sets for PII, flag sensitive information and follow privacy best practices.
• Review and assess AI responses to data and business analysis scenarios, providing expert feedback.
• Apply QA practices to validate data quality, flag inconsistencies, and verify results.
• Create 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.

Skills

Data analysis

QA processes

PII handling

Large datasets

Education

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

Job 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 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.