HR Analyst Expert - Job Opportunity at AfterQuery

Remote, US
Part-time, Contract
Mid-level
Posted: April 2, 2025
Remote
USD 35-75 per hour

Benefits

Flexible remote work schedule
Project-based compensation structure
Exposure to Y Combinator startup ecosystem
Autonomous work environment

Key Responsibilities

Design and implement sophisticated Excel-based workforce planning tools and analytical models
Develop comprehensive compensation benchmarking frameworks and analysis
Create strategic PowerPoint presentations for HR metrics and KPI reporting
Establish organizational performance tracking methodologies
Lead turnover analysis and workforce optimization initiatives

Requirements

Education

Degree in Human Resources, Business, Economics, or related field (T50 Undergrad/T20 MBA preferred)

Required Skills

Background in Human Resources, People Analytics, or Organizational Strategy Proficiency in Excel and PowerPoint for HR reporting and planning Familiarity with key HR metrics (turnover, compensation bands, engagement)
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Sauge AI Market Intelligence

Industry Trends

AI training data quality has become a critical differentiator in the HR analytics space, with companies increasingly focusing on specialized datasets for HR automation The rise of remote HR analytics roles reflects a broader shift toward data-driven people operations and decision-making Growing demand for HR professionals who can bridge traditional people management with AI/ML applications

Salary Evaluation

The hourly rate of $35-75 translates to approximately $72,800-$156,000 annually for full-time equivalent work. This range is competitive for specialized HR analytics roles, particularly in the AI/tech sector

Role Significance

Likely part of a distributed team of specialized analysts, working independently on discrete projects with potential collaboration with AI researchers and data scientists
Mid to senior-level individual contributor role with significant autonomy in project execution and methodological decisions

Key Projects

Development of AI training datasets for HR automation Creation of standardized HR analytics frameworks Design of scalable workforce planning tools Implementation of performance tracking systems

Success Factors

Deep understanding of HR metrics and their business impact Ability to translate complex HR processes into structured data formats suitable for AI training Strong project management skills in an asynchronous environment Balance between HR domain expertise and technical analysis capabilities

Market Demand

High demand with growing trajectory. The intersection of HR expertise and AI training data creation represents a specialized niche with limited talent pool but increasing market need

Important Skills

Critical Skills

Excel modeling expertise for creating sophisticated HR analysis frameworks Understanding of HR metrics and their implementation in AI training contexts Ability to structure complex HR processes into analyzable components

Beneficial Skills

Experience with AI/ML concepts and applications Data visualization and storytelling skills Knowledge of HR technology platforms and automation tools

Unique Aspects

Rare opportunity to influence AI development in HR domain
Combination of traditional HR analytics with cutting-edge AI applications
Flexible work arrangement with premium compensation for specialized expertise

Career Growth

12-24 months typical project engagement with potential for expanded role or transition to full-time leadership position

Potential Next Roles

Senior HR Analytics Manager Head of People Analytics AI/HR Product Manager HR Technology Director

Company Overview

AfterQuery

Y Combinator-backed startup focused on creating specialized AI training datasets, positioning at the intersection of HR technology and artificial intelligence

Early-stage startup with strong institutional backing, operating in the growing AI infrastructure space
Fully distributed company structure with US base, enabling access to diverse talent pools
Autonomous, project-based environment with emphasis on expertise and deliverable quality over traditional workplace structures
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Data Sources & Analysis Information

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