JISAR

Abstract: This research examines the data analytics job market, focusing on prominent tools in job advertisements and their salary implications. Analyzing a diverse range of postings for business analysts, data analysts, and other analytics roles, we identified the most sought-after tools: SQL, Tableau, Python, R and Power BI. The study reveals SQL's critical importance for business analysts, data analysts, and business intelligence analysts. Additionally, Tableau surpasses Power BI in popularity, while Python is in high demand compared to R. Our findings also indicate distinct salary trends across specializations. Data analysts witness salary increments for all top five tools. However, for system analysts, these tools do not tend to impact salaries. Data scientist roles prioritize programming, with SQL and Python leading to salary increases. By understanding the current tool trends and their salary implications, stakeholders can strategically position themselves in the data-driven landscape.

Download this article: JISAR - V17 N2 Page 45.pdf

Recommended Citation: Hartzel, K., Ozturk, P., (2024). Tools for Success: Their Impact on Salaries in the Data Analytics Job Market. Journal of Information Systems Applied Research 17(2) pp 45-60. https://doi.org/10.62273/JPTA5240