In response to the huge growth in data and its increasing importance to organizational strategy and growth, a variety of roles have been created to manage and support organizational efforts. This has created a growing set of opportunities for analytics professionals to build a career focused on data, strategy and analytics.
These roles run the spectrum of needs, from data engineers responsible for database design and data acquisition, to data scientists focused on exploring captured information and deriving insights, and business analysts and analytics managers leveraging data to monitor organizational performance.
These roles – in particular data scientists – enjoy some of the most competitive compensation and widest array of opportunities for new professionals.
You already work with the hiring manager to craft a good job posting, and you rely on an ATS to screen out the wrong candidates. However, this process is not getting the results you and your company desire. Here are some things you could do to improve your process and increase the range of applicants.
Because of the dynamic nature of the data science industry, the range of specialized skills within this field, and the evolving nature of deliverables expected from the your analytics/data team, the usual process just won’t work. Try shadowing employees, and also meet with the corporate training department for any insights they have to trends they are seeing.
A growing number of roles are needed to support an organization’s analytics and data needs.
Data-focused roles to support the spectrum of analytics
For professionals with a passion for data and analytics, now is a great time to find an exciting career option. Get started today. Find your next data driven role at chiselanalytics.com.
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The need to leverage data has created a new arms race for data science and AI professionals. Chisel Analytics can help organizations find the professionals they need to quickly scale their capabilities. #DataScience #AI https://t.co/rkrLit9Lju pic.twitter.com/kLrIhcPkEp— Chisel Analytics (@chiselanalytics) April 23, 2019
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