Hot new big data analytics jobs you need to know

Hot new big data analytics jobs you need to know

Hot new big data analytics jobs you need to know

Big data and analytics are transforming the way we work. Many HR managers are even shortening the review and revision process on job responsibilities and the task lists on position descriptions to reflect the active role that analytics plays.

Those already in the workforce should take steps to improve their skills in analytics, as more employees will be expected to work in this area. For individuals seeking their first jobs, taking an analytics course or two are strong entries to add to your resume.

The big data and analytics boom is also leading to the creation of new jobs. Here's a list of new analytics roles that some employees are filling.

Data scientists are hard to find; in addition, many companies can't afford to hire one. The result is the birth of the "citizen" data scientist—an analytically talented individual from the organization who does not have a formal degree in data science or engineering but who takes on the mantle of developing complex algorithms and queries of data that can yield breakthrough information for the company.

Read Also:
Forests and open data

In April 2015, Gartner research analyst Alexander Linden described citizen data scientists as "people on the business side that may have some data skills, possibly from a math or even social science degree—and putting them to work exploring and analyzing data." Shawn Rogers, Chief Research Officer at Dell Statistica, added, "I think that 2016 could be the year of the citizen data scientist because users throughout the business want a more democratized approach to big data and analytics. Not every company can afford a data scientist, which is a big reason why citizen data scientists will become a big part of the data ecosystem as it evolves."

Manufacturing engineers and other machine operators and technicians at the "edges" of enterprises where machines are being used may soon take on roles that involve harvesting information from sensors in these machines and then moving the sensor-based input into software and systems that are running machines, coordinating machine-based operations and handoffs, and checking on machine health.

Read Also:
Penn Signals Big Data Analytics Helps Penn Medicine Improve Patient Care

Other IoT roles will include engaging and programming advanced robotics and even stationary field-based sensors that report on environmentals at remote locations.

 



Big Data Innovation Summit London

30
Mar
2017
Big Data Innovation Summit London

$200 off with code DATA200

Read Also:
The hidden danger of big data

Data Innovation Summit 2017

30
Mar
2017
Data Innovation Summit 2017

30% off with code 7wData

Read Also:
How To Choose A Successful Infographic Concept

Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
5 Big Data Trends Impacting Financial Institutions in 2016

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
Machine Learning Templates with SQL Server 2016 R Services

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Why Spreadsheet Reporting is Bad for Business

Leave a Reply

Your email address will not be published. Required fields are marked *