Talent Survey Results: Building the New Data-Driven Workforce

Richard Cline, Grant Thornton

Bojan Cukic, UNCC

Misha Ghosh, ADP

Most of the participants are from financial and technologysectors in senior positions.

12%

5%

7%

23%

53%

Other

Retail

Healthcare

Technology

Financial

Technology

Financial

Q1-2

35% 19% 35% 12%

Strongly Agree | Agree | Neutral | Disagree

Most participants agree that data scientist and/or analytics talent needed currently exists within the company.

More than half of the companies represented plan to hire data scientists and/or analytics professionals in 2019.

19%

63%Hiring

Not hiring

Q3-4

Soft skills and data visualization are considered as the most important competency by most of the participants

24%

28%

26%

20%

22%

24%

28%

14%

18%

16%

26%

22%

28%

24%

8%

10%

16%

16%

20%

16%

24%Soft skills/communication/collaboration 76%

Data visualization 68%

Data wrangling 64%

Programming/coding 62%

Unstructured/structured data 58%

Machine learning/AI/NLP/Deep learning 56%

Data governance 46%

COMPETENCIES TOTAL % Most Valuable | 2nd Most Valuable | 3rd Most Valuable

Q5

Challenges in hiring:Visa sponsorshipGauging abilitiesFinding the right talentsRetentionExperienced candidates

…

Soft skills are the differentiator:StorytellingCommunicate in business languagesDomain knowledgeDecision-making drivenAdaptabilityWorking ethics…

Q13, 14

Most of the participants believe that formal degrees are necessary; graduate programs can better prepare the candidates.

5%

5%

37%

51%

28%

51%

42%

37%

47%

33%

19%

12%

21%

12%

2%

0%

0%

0%

Strongly Agree | Agree | Neutral | Disagree | Strongly Disagree

Undergraduate

Graduate technical skills

Graduate soft skills

Formal degrees are necessary

Q6, 8, 10, 12