A Frictionless Approach to Hiring and Upskilling Employees
Data skills aren’t optional. QuantHub’s unique approach to upskilling eliminates generic data skills training and makes personalized learning affordable at scale. It’s the best way to close the data and analytics talent gap all companies are facing.
Looking to upskill your workforce?
Baseline and Train Data Skills For Everyone
Deploy Personalized Learning For All Team Members
Using our unique, targeted learning approach, QuantHub's AI engine, Chip, creates an individualized upskilling plan for each employee on your team. Individuals receive targeted learning activities based on their unique skill set and gaps.
Focus on What Matters
Measure Skill Growth Not Training Hours
Prove L&D investment provides returns by measuring individual skill progression and linking L&D data to retention and business outcomes. With QuantHub your employees are on a perpetual growth trajectory, and the growth is quantitative.
Build For The Future
Grow a Data-literate Workforce
Create an internal talent pipeline that allows for employees to upskill and reskill faster. As individuals gain confidence through transparency into their growing data skills, organizations are primed to execute on projects that increase business impact.Read More About a Data Literacy Roadmap
Building a strong advanced analytics team isn’t about finding data science and data engineering unicorns, but about bringing together a diverse team with unique skill sets. Our assessments give insights into the skills candidates do (and don’t) have.
Hiring For Your Data Team?
Assess your Candidate Pipeline
Define The Skills You Need
Create Custom Assessments By Role
Measure conceptual understanding alongside programming language proficiency. Our assessments are designed to test your highest-level data scientists and data engineers as well as functional analysts and entry-level data roles.
Better Understand Your Candidate Pipeline
Receive Clear Results For Easy Decisions
QuantHub reports use visualizations to show both breadth and depth of the skills assessed. This gives each candidate a Q-score related to job fit. Hiring managers get a clear view into who has the strongest data skills overall, not just in one area.
Test Beyond The Textbook
Validate Final Candidates With Real-world Data Challenges
In order to evaluate practical application and job-readiness, send final candidates a QuantHub data challenge. Each recipient of a data challenge is given access to a Jupyter Notebook, a data set, and a series of project responsibilities and questions.
of corporate strategies explicitly mention data as a necessary driver of business value.-Gartner
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