YOU ARE AT:Big Data AnalyticsTop 12 Big Data & Analytics Job Titles

Top 12 Big Data & Analytics Job Titles

Big data and analytics are an expanding area within telecom, and with global job potential. IBM, for example, recently announced that it has committed $100 million dollars to educating and training data scientists in China to head off an anticipated workforce shortage. There are more than 11,000 data science jobs listed on sites like Indeed.com.
But, as the telecom industry figures out how best to use big data for business intelligence, marketing, network operations or creating new services, it is also figuring out how to best describe the people and skills that companies are looking for in order to fulfill the promise of big data and analytics.
RCR Wireless News surveyed listings across top job sites and came up with this list of a full dozen commonly used job titles for roles that encompass big data & analytics. If you’re in the market, simply searching for “data science” may not get you the full range of opportunities that are out there, so take a look and expand your search terms.
Here are the top 12 big data and analytics job titles commonly in use by companies who are seeking expertise in this area:
1. Data Scientist
2. Data Engineer
3. Big Data Engineer
4. Machine Learning Scientist
5. Business Analytics Specialist
6. Data Visualization Developer
7.  Business Intelligence (BI) Engineer
8. BI Solutions Architect
9. BI Specialist
10. Analytics Manager
11. Machine Learning Engineer
12. Statistician

ABOUT AUTHOR

Kelly Hill
Kelly Hill
Kelly reports on network test and measurement, as well as the use of big data and analytics. She first covered the wireless industry for RCR Wireless News in 2005, focusing on carriers and mobile virtual network operators, then took a few years’ hiatus and returned to RCR Wireless News to write about heterogeneous networks and network infrastructure. Kelly is an Ohio native with a masters degree in journalism from the University of California, Berkeley, where she focused on science writing and multimedia. She has written for the San Francisco Chronicle, The Oregonian and The Canton Repository. Follow her on Twitter: @khillrcr