Human Data Analyst

Summary

Join Prolific, a leader in human data infrastructure for AI development, as a Human Data Analyst. You will be crucial in building pricing infrastructure and forecasting capabilities using Google Sheets. This hands-on role involves designing dynamic pricing models, forecasting demand and supply, and collaborating with data and ops teams. You will influence financial and operational strategy and contribute to better planning and scaling of AI-focused delivery efforts. The ideal candidate is a highly technical, analytical operator who excels at building clarity, loves well-structured spreadsheets, and can effectively communicate insights. This is a 6-month fixed-term contract.

Requirements

• 4+ years in an operations, strategy, or data analyst role with direct ownership of pricing, forecasting, or workforce planning models
• Expert-level proficiency in Google Sheets or Excel, including array formulas, pivot tables, query functions, automation via Apps Script, and complex modeling logic
• Strong SQL skills, with a track record of integrating model inputs/outputs with broader data infrastructure
• Proven ability to design, implement, and scale bespoke models and tools in ambiguous or greenfield environments
• Excellent written and verbal communication skills, with confidence in presenting insights to leadership
• Highly organized with strong attention to detail and a bias toward action and iteration

Responsibilities

• Take ownership of pricing, forecasting, and resource modeling across Prolific’s human data channels, including domain experts, global crowd, and AI taskers
• Develop frameworks to assess ROI across acquisition efforts and inform strategic investment decisions
• Work directly with the COO and functional leads to align forecasting models with company-level planning and budget assumptions
• Lead operational readiness initiatives by developing repeatable, scalable templates and tools
• Present insights to executive stakeholders and adjust models based on feedback and evolving needs
• Build dynamic Google Sheets (or Excel) models to project participant supply, pricing, and engagement costs across different acquisition channels
• Apply scenario analysis to model key variables such as hourly rates, incentives, onboarding time, and conversion rates
• Use SQL to extract data from internal systems to validate assumptions, power models, and ensure consistency with business metrics
• Fine-tune model outputs for seamless upload to our data warehouse, working in close collaboration with our data team
• Create clear documentation and training materials to ensure adoption and scalability of tools across teams
• Partner with acquisition, onboarding, and support teams to ensure pricing and supply forecasts are grounded in operational reality
• Act as a bridge between strategy and operations — turning ambiguous goals into actionable, data-backed roadmaps
• Identify inefficiencies in current modeling, planning, or reporting processes and propose improvements
• Contribute to the creation of live dashboards, automated reporting workflows, and model health checks
• Support project tracking and measurement of outcomes through rigorous data analysis and performance reviews

Preferred Qualifications

• Experience in crowdsourcing, human data platforms, or participant/marketplace operations
• Familiarity with supporting AI/ML lifecycle projects, including domain-specific recruitment or task curation
• Understanding of data warehousing platforms (e.g., Redshift, Snowflake)
• Experience in fast-paced environments where speed, clarity, and flexibility are essential

Benefits

• Competitive salary
• Benefits
• Remote working