As part of the efforts to determine the challenges applicants face during the Data Science and Analytics hiring process, AIMResearch, in association with AnalytixLabs, released this recruitment survey aimed at job seekers across the Data Science community.
This year the survey was focused only on job applicants/job seekers. Moreover, this
year social media channels were utilized to reach out to a wider audience.
AIM has now published the findings of the survey in this report. The findings cover some of the experiences of Data Science and Analytics job seekers, including the challenges faced during the current downturn and reduced demand for analytics services.
At the beginning of the year, there was a sharp increase in the demand for Analytics professionals. The open jobs figure for analytics reached a maximum in
February – March 2020 – reaching a high of approximately 113,000 in the 1st week of March, rising steadily from a figure of 97,000 last year.
However, the lockdown and the ensuing recession reduced the open job numbers
bringing the figures down to an average of 80,000 in May-June. A once thriving
recruitment market has been affected by the recession (a recession caused by the Covid – 19 pandemic).
This survey provides a direct perspective on the recruitment scenario from the
perspective of Data Science and Analytics job seekers. This report will benefit prospective job seekers, including students, to understand the outlook of the broad Analytics job market – including best approaches to apply for jobs, the sites and resources commonly used by job seekers, the tools or approaches used to up-skill or prepare for an interview, and the cities that offer the best opportunities for Data Scientists, to name a few perspectives.
All these view-points are especially important to understand in the current recruitment scenario, which is relatively subdued.
Table of Content
- Benefits & Takeaways in the Current
- Methodology & Response
- Key Findings
- Jobs Availability in the Current Crisis
- Challenges Encountered During the Data
- Science Recruitment Process
- Necessity of Degree or Formal Education for a Data Science Job/ Career
- Significance of Formal Programming Experience for a Job in Data Science
- Significance of Prior Work Experience for a Career in Data Science
- Ease of Transition to Data Science and Analytics Roles from Non-Science Backgrounds
- Best Approach to Get an Entry-level Job in Data Science
- Utilization of Massive Online Open Courses (MOOCs) for Re-skilling After Hiring
- Resources or Tools Used to Up-skill or Prepare for Data Science Recruitment
- Industries and Sectors with the Most Opportunities in Data Science
- Sites or Resources Utilized to Find a Data Science Job
- Areas of Greatest Interest for Job Seekers
- Cities that Offer the Most Job & Recruitment Opportunities