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