Developing a diverse data workforce to close the talent gap
Looking to hire and develop talent from underrepresented groups, Target partnered with Correlation One and its Data Skills for All (DS4A) program to create tailored workforce solutions that would promote its diversity, equity, and inclusion (DEI) efforts as well as close the data talent gap.
IndustryRetail
HeadquartersMinneapolis
No. of employees409,000
Revenue$94B
7
new hires in data analytics and engineering
24
internal mentors
Context
Target's expanding workforce was spread across a large geographic region, making it challenging to unify the company's efforts. The retail conglomerate also had a high degree of variation in data knowledge and experience among its workforce. Lastly, with a renewed commitment to DEI, the company was looking to build a diverse, data talent pool.
Goals
To equip Target with the data talent needed to remain competitive, Correlation One curated a custom workforce development strategy with the following objectives:
Diversify the data talent pool.
Close the data skills gap within their workforce.
Reach your KPIs faster with strong data talent
Discover how Correlation One's DS4A program provides:
Immediate access to diverse data talent
Real use cases for participants to train with
A competitive environment to uncover hidden skills
Target successfully hired seven professionals from the DS4A talent pool for roles in data analytics, UX design, and data engineering. Correlation One’s DS4A program welcomes talent from traditionally underrepresented groups to promote diversity, equity, and inclusion in data careers. More than two dozen mentors from Target engaged with DS4A to help and support the program participants.
7
new hires in data analytics and engineering
24
internal mentors
About Correlation One's solution
Correlation One offers Fortune 100 enterprises, like Target, custom workforce solutions to establish the data skills that organizations need to compete in the AI economy. To advance DEI within data science, Target hired DS4A program participants and alumni for roles on their user experience (UX), data, and analytics teams.
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