Analytics to improve how teams work and collaborate
We're looking for Data Engineers to help us build a real-time people analytics platform. You will integrate, process, and analyze large amounts of data on how people work and collaborate within organizations. You’ll build models to answer questions about the skills, productivity, and engagement of people and teams.
You should be able to analyze complex problems, navigate large amounts of raw data, and provide actionable insights and explain complicated results in an understandable way. You must be passionate about analyzing data, finding new and interesting ways to visualize results and solving real-world/practical business problems. This is an opportunity to have a huge impact on how companies manage and develop their talent.
Worklytics is a people analytics startup based in NYC and Seattle. We provide our customers real-time insight into Employee Experience by analyzing data on work and collaboration in common productivity tools (G Suite, Office 365, Slack, GitHub, Jira, and more). We combine these data sources with HR systems, engagement surveys, performance reviews and more to discover how team environments and behaviors drive employee outcomes.
Our challenges include processing huge volumes of data about activity across all these tools and using cutting-edge ML techniques to extract actionable insights, while maintaining the highest levels of security and privacy.