2 дня назад
Senior People Science Analyst (12 month FTC)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior People Science Analyst (12 month FTC) (People Analytics/HR Analytics): Leading bespoke workforce research for EMEA and North American customers by combining Culture Amp and customer-supplied data, with an accent on rigorous statistical analysis, reusable data methods, and AI-assisted research. Focus on connecting employee experience data to business outcomes, protecting participant privacy, and translating complex findings into practical recommendations and executive-ready stories.
Location: London, with an average of 2 days per week in the local office
Company
provides an employee experience platform that helps organisations improve employee engagement, performance management and team effectiveness using people science and workforce data.
What you will do
- Lead customer discovery and own bespoke research studies from business-question definition through study design, delivery and recommendations.
- Design, clean, combine and explore and customer-supplied datasets using robust, reusable and privacy-preserving methods.
- Conduct statistical analyses across engagement, employee lifecycle, performance and team-effectiveness data to generate actionable and predictive insights.
- Use AI tools to accelerate research, analysis, synthesis and communication while validating outputs and maintaining methodological rigour.
- Collaborate with People Scientists, Customer Success Managers, Account Managers and HR leaders on complex analytics projects and insight reports.
- Develop reusable methods, templates and thought leadership materials, communicating findings through clear reports and presentations.
Requirements
- Master’s or PhD in organisational psychology, quantitative social science, economics or a related field, or equivalent applied research experience.
- Applied experience with quantitative research on people or workforce data, ideally connecting survey results to business outcomes.
- Strong knowledge of inferential statistics, including regression, multi-level and longitudinal analysis.
- Working proficiency in R and experience cleaning and combining messy datasets from multiple sources.
- Experience owning complex analytical work end to end, managing scope and timelines, and presenting findings to HR and executive audiences.
- Practical understanding of AI tools and workflows, with the judgement to improve efficiency without compromising data protection or methodological rigour.
Culture & Benefits
- Hybrid work with regular in-office collaboration.
- Equity through the Employee Share Option Program.
- Learning programs, coaching, quarterly refresh days and an extended end-of-year break.
- Monthly wellbeing and lifestyle allowance, inclusive parental leave and five annual social impact days.
- MacBook and budget for setting up a home workspace.
- Medical insurance for employees and families in the US and UK.
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