Senior People Analytics Lead

Culture Amp

New York (NY)

Hybrid

USD 140,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Equity through Employee Share Option
Learning programs and coaching
Wellbeing monthly allowance
Parental leave
MacBook provided
Annual social impact days
Medical insurance for you and family

Job summary

Culture Amp is the world’s leading employee experience platform, partnering with 25 million employees across 6,000+ companies. We are seeking a Senior People Science Analyst to join our global People Science Analytics team on a 12-month fixed-term contract.

You will partner with customers across EMEA and North America on bespoke research, using Culture Amp data and client data, with GenAI tools to improve efficiency and insight.

Qualifications

  • Advanced degree or equivalent applied research experience
  • Quantitative methods on people/workforce data
  • Experience owning complex analytical work end to end

Responsibilities

  • Lead customer discovery and own studies end to end
  • Design and explore datasets with privacy in mind
  • Conduct rigorous statistical analyses across engagement and performance data
  • Use AI tools to accelerate research while ensuring methodological rigour
  • Collaborate with HR analytics projects and stakeholders
  • Translate complex findings into clear reports and thought leadership
  • Create reusable methods and templates to improve processes

Skills

Statistical analysis
R
HR analytics
Data storytelling
Stakeholder management
AI tooling usage
Research design

Education

Advanced degree (Masters/PhD) in organisational psychology or related field

Tools

R

Job description

Culture Amp is the world’s leading employee experience platform, partnering with 25 million employees across 6,000+ companies. We are seeking a Senior People Science Analyst to join our global People Science Analytics team on a 12-month fixed-term contract.

You will partner with customers across EMEA and North America on bespoke research, using Culture Amp data and client data, with GenAI tools to improve efficiency and insight.

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