Senior Data Analyst

Employment Type: Contractor
Work Arrangement: Remote
Location: United States
Schedule: Part-Time

Compensation

Annualized Full-Time Equivalent: $96,000–$153,600 per year

Hourly Rate: $50–$80 per hour

The annualized figure is based on 40 hours per week and 48 working weeks per year. This is a full-time annualized equivalent for comparison only; actual earnings will depend on the part-time workload and assignments.

About the Role

We are seeking an experienced Senior Data Analyst to contribute to the development and evaluation of advanced AI systems.

This role is suited to experienced data professionals with strong expertise in business data analysis, data quality assurance, and analytical validation. You will apply your judgment to real-world business datasets, evaluate AI-generated analytical outputs, and help establish standards for accurate, reliable, and high-quality AI-driven data analysis.

Experience working with personally identifiable information (PII) and sensitive business data is particularly valuable.

Key Responsibilities

• Review datasets for personally identifiable information (PII) and identify sensitive information.

• Apply appropriate data privacy and handling practices when reviewing sensitive datasets.

• Evaluate AI-generated responses to business and data analysis scenarios.

• Provide expert feedback to improve the accuracy, precision, and reliability of AI-generated analysis.

• Apply data quality assurance practices to validate datasets and analytical outputs.

• Identify inconsistencies, errors, and potential data quality issues.

• Verify the correctness of analytical results.

• Develop objective evaluation frameworks and grading criteria for assessing AI performance on analytical tasks.

• Collaborate with product and research teams to refine datasets, analytical guidelines, and best practices.

• Apply strong attention to detail when reviewing business data and AI-generated outputs.

Required Qualifications

• Bachelor's degree in Business, Analytics, Statistics, Information Systems, or a related field, or equivalent professional experience.

• 3+ years of experience as a Data Analyst, Business Analyst, or in a closely related analytical role.

• Strong experience working with large business datasets.

• Hands-on experience with data quality assurance, including data validation, reconciliation, and verification of analytical outputs.

• Demonstrated ability to analyze and interpret large and complex business datasets.

• Experience handling data containing personally identifiable information (PII) and other sensitive material.

• Strong analytical reasoning and attention to detail.

• Ability to objectively assess data quality and analytical accuracy.

Preferred Qualifications

• Strong familiarity with PII handling, data privacy, and sensitive-data management practices.

• Proficiency with SQL and Excel.

• Experience using business intelligence or data visualization tools.

• Advanced degree or professional certification in business analysis, data analytics, statistics, or a related discipline.

• Previous experience with AI evaluation, data labeling, model evaluation, or AI training projects.

Key Skills

• Data Analysis

• Business Data Analysis

• Data Quality Assurance

• Data Validation

• Data Reconciliation

• Quality Control

• SQL

• Excel

• Business Intelligence

• Data Visualization

• PII Identification

• Data Privacy

• Sensitive Data Handling

• AI Evaluation

• Analytical Reasoning

• Attention to Detail

What Success Looks Like

Success in this role means consistently delivering accurate, objective, and detailed assessments of business data and AI-generated analytical outputs.

You will help improve AI systems by identifying errors, validating analytical reasoning, establishing reliable evaluation standards, and ensuring that sensitive information is handled appropriately.