us Senior Data Analyst | Remote - Contract Remote (United States)

Dover; Northern (KY); Remote; USD 55,000 - 96,000; Part time

Job summary

Dover is seeking a seasoned U.S.-based Senior Data Analyst for a part-time contractor role. Remote work is available for candidates located in the United States.

You will review data for PII, evaluate AI-driven analytics, and apply QA to ensure data quality and correctness across large business datasets. The ideal candidate has a strong background in data analysis, QA processes, and experience handling sensitive information.

Qualifications

• Bachelor's degree in business, analytics, statistics, information systems, or 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.

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.

Skills

Personal Identifiable Information

Quality Assurance

Attention to Detail

Data Analysis

Business Data Sets

Education

Bachelor's degree in business, analytics, statistics, information systems, or related field

Tools

SQL

Excel

BI/Visualization tools

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.

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.