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Senior People Analytics Specialist
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Culture Amp is seeking a highly skilled Senior People Scientist to join our team. As a Senior People Scientist, you will be responsible for working with customers to design and build people-centric feedback and performance management strategies.
Key Responsibilities- Collaborate with customers to design and build people-centric feedback and performance management strategies
- Contribute to survey question design sessions and lead results review sessions with clients
- Work with client data and survey outcomes to identify valuable themes and stories to help clients improve their culture and business outcomes
- Generate actionable and predictive insights from HR data sets, including engagement surveys, lifecycle surveys, and individual/team effectiveness feedback
- Coach clients on aligning business strategy with performance management and employee feedback approaches using the Culture Amp platform
- Support and build domain expertise for our customer-facing teams through coaching and training
- Contribute to improving internal processes and culture within Culture Amp
- Contribute to internal and external thought leadership on HR issues in various industries and regions
- Present HR analytics research, client survey results, and training masterclasses to HR leaders, executive teams, and prospective Culture Amp clients
- Master's or PhD in Industrial-Organizational Psychology, Organizational Development, HR/Business Analytics, or related field
- 3+ years of applied experience working within an HR or People team, with enterprise experience highly preferred
- At least 2 years of applied experience designing, implementing, and analyzing surveys throughout the employee lifecycle and/or 360-type feedback processes
- Experience working with and/or implementing performance management, development, diversity, equity, and inclusion, and change management processes
- Strong presentation, interpersonal, and communication skills, especially when explaining data and building meaningful narratives
- Basic knowledge of statistics and experience using statistical packages such as R or SPSS; moderate knowledge of statistics and basic knowledge of predictive analytics techniques preferred
- Proficiency in software tools such as Microsoft Office Suite, Keynote, and Google Docs
- Opportunity to work with a leading employee experience platform
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Competitive salary and benefits package