Senior People Analytics Specialist

Vor 5 Tagen

Berlin, Berlin, Deutschland Culture Amp Vollzeit
About the Role

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
Requirements
  • 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
What We Offer
  • Opportunity to work with a leading employee experience platform
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities
  • Competitive salary and benefits package

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