SIG ED - IS in Education, IS Curriculum, Education and Teaching Cases
Loading...
Paper Type
ERF
Paper Number
1144
Description
Data analysis is becoming an increasingly critical activity in today’s organizations as companies collect more data and rely on data analysis to drive decision-making. To meet this need, many universities now offer data analytics programs to train entry-level data analysts. However, the field is changing rapidly, representing a challenge to academics determining which skills and software platforms to include in a data analytics curriculum. Information systems researchers have investigated this problem, but gaps remain in our knowledge. Specifically, it is unclear how important different technical skills and tools are to managers hiring entry-level data analysts and what is expected of graduates of university data analytics programs. In this emergent research forum paper, we review the existing research on data analyst skillsets and outline a plan to bring the field up-to-date by building on the extant literature with a new focus not just on frequency of skills listed in job postings but also on their importance to today’s organizations. This work will contribute valuable findings to IS scholars developing data analytics curriculum, entry-level data analysts competing on the job market, and hiring managers staying up to date on the field’s demands.
Recommended Citation
Collier, Cassandra Artman and Powell, Anne L., "What Really Matters? Evaluating the Importance of Skills for Data Analysts" (2022). AMCIS 2022 Proceedings. 20.
https://aisel.aisnet.org/amcis2022/sig_ed/sig_ed/20
What Really Matters? Evaluating the Importance of Skills for Data Analysts
Data analysis is becoming an increasingly critical activity in today’s organizations as companies collect more data and rely on data analysis to drive decision-making. To meet this need, many universities now offer data analytics programs to train entry-level data analysts. However, the field is changing rapidly, representing a challenge to academics determining which skills and software platforms to include in a data analytics curriculum. Information systems researchers have investigated this problem, but gaps remain in our knowledge. Specifically, it is unclear how important different technical skills and tools are to managers hiring entry-level data analysts and what is expected of graduates of university data analytics programs. In this emergent research forum paper, we review the existing research on data analyst skillsets and outline a plan to bring the field up-to-date by building on the extant literature with a new focus not just on frequency of skills listed in job postings but also on their importance to today’s organizations. This work will contribute valuable findings to IS scholars developing data analytics curriculum, entry-level data analysts competing on the job market, and hiring managers staying up to date on the field’s demands.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
SIG ED