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.
What You’ll Be Doing:
- Building data pipelines to ingest, parse, and extract insights from millions of data points on work and collaboration
- Ensuring all data processing is done to the highest levels of security and privacy compliance
- Define new and interesting ways to visualize data and results to make them easy to understand and consume
- Driving your own projects to define new reports and features to be included in user facing products
- Work directly with customers to output and analyze data to solve real internal company issues
What You’ll Need
- Minimum of 2 years experience in quantitative analytics, data science, or software engineering
- B.S. or higher in Applied Mathematics, Statistics, Computer Science, or related quantitative field
- Solid understanding of statistical modeling, predictive analysis, machine learning & data mining
- Experience interpreting complex data and results and presenting them in easily consumable manner to non-technical users (visualizations etc)
- Practical experience with relevant tools and technologies (Java, Scala, Go, SQL)
- Gets-things-done/self-starter attitude. I.e., you can start and drive projects to completion with minimal guidance
Worklytics
