Senior People Science Analyst (12 month FTC)
About The Position
Culture Amp is hiring a Senior People Science Analyst for its global People Science Analytics team on a 12-month fixed-term contract. The role partners with customers across EMEA and North America on bespoke research using Culture Amp and customer-supplied data, owning studies from defining the question through to recommendations and action. The analyst combines data from diverse customers and applies methods from psychology, economics and business to produce advanced insights into how employee experience relates to outcomes such as turnover, sales performance and customer satisfaction. The role surfaces trends for the HR community and communicates complex findings through accessible stories and practical strategies. This is a technical, customer-facing position that works closely with customers, HR leaders, customer-facing People Scientists, Customer Success Managers and Account Managers. The analyst brings clarity to methodology and reporting, helps customers and colleagues build confidence with data, and contributes to client and public-facing insight reports. The role also uses AI tools to support research and analysis while validating outputs, protecting customer data and maintaining methodological rigour. Because the team is small and projects are complex, the analyst has substantial ownership over which questions to investigate and how to answer them.
Requirements
- An advanced degree (Master’s or PhD) in organisational psychology, quantitative social science, economics or a related field, or equivalent applied research experience.
- Applied experience using quantitative research methods on people or workforce data, ideally connecting survey results to business outcomes.
- Strong command of inferential statistics, including regression, multi-level analysis and longitudinal analysis, and judgment in selecting methods for research questions.
- Working proficiency in R and practical experience cleaning and combining messy datasets from multiple sources.
- Experience owning complex analytical work end to end, from an ambiguous question through to a clear recommendation or conclusion.
- A track record of building presentations for HR and executive audiences and presenting them effectively.
- Strong practical understanding of AI tools and workflows, including judgment to improve quality, efficiency and insight without replacing methodological rigour.
- Experience managing stakeholder expectations around scope, timelines and priorities, including making trade-offs or constraints explicit.
- Experience sharing expertise, improving team practices or creating reusable approaches that help others do better work.
- Curiosity and the ability to ask open questions, identify underlying problems and understand them before proposing solutions.
- Ability to advance complex work independently with limited direction while knowing when to seek input or challenge assumptions.
- Ability to communicate complex findings clearly to people without statistical training.
- Sound methodological judgment, including awareness of the limits of one’s expertise and clear communication of implications.
- Willingness to share knowledge, provide useful feedback and improve team methods or assets.
- Openness to feedback and ability to act on it quickly.
- Comfort with intellectually complex work and ambiguity in open research questions.
Responsibilities
- Lead customer discovery and own studies end to end, from clarifying business problems and shaping research questions through study design, delivery and recommendations.
- Design, clean, combine and explore platform and customer-supplied datasets using robust, reusable approaches that protect participant privacy.
- Conduct rigorous statistical analyses across engagement, lifecycle, performance and team-effectiveness data, generating actionable and, where appropriate, predictive insights tied to business outcomes.
- Use AI tools to accelerate research, analysis, synthesis and communication while validating outputs, protecting customer data and maintaining methodological rigour.
- Collaborate with customer-facing People Scientists on advanced HR analytics projects, applying sound judgment about methods, limitations and trade-offs.
- Identify themes and stories that can help organisations improve culture and business outcomes, and communicate them through clear reports, presentations, and internal and external thought leadership.
- Create reusable methods, templates and assets; improve internal processes and practices; and negotiate scope, priorities and timelines to deliver high-quality work.
- Help customers and colleagues build confidence with data.
Benefits
- Equity through the Employee Share Option Program.
- Learning programs and coaching.
- Quarterly refresh days, an extended end-of-year break and a monthly allowance to support wellbeing and lifestyle.
- Inclusive parental leave from day one.
- A MacBook and budget to set up a home workspace.
- Five annual social impact days.
- Medical insurance coverage for the employee and family (available in the US and UK only).
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What This Job Offers
Career Level
Senior
