INTERESTING CAREERS TO EXPLORE IN Learn SAS® BIG DATA with Epoch Research Institute India PVT. LTD.(www.epoch.co.in)

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it's not the amount of data that's important. It's what organizations do with the data that matters.

DATA SCIENTIST:

These people use their analytical and technical capabilities to extract meaningful insights from data.

DATA ENGINEER:

They ensure uninterrupted flow of data between servers and applications and are also responsible for data architecture.

BIG DATA ENGINEER:

Big Data Engineers build the designs created by solutions architects. They  develop, maintain, test and evaluate big data solutions within organizations.

MACHINE LEARNING SCIENTIST:

They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting, and explore Big Data to automatically extract patterns. 

BUSINESS ANALYTICS SPECIALIST:

A Business Analytics specialist supports various development initiatives, assists in testing activities and in the development of test scripts, performing research in order to understand business issues, and developing practical cost-effective solutions to problems.  

DATA VISUALIZATION DEVELOPER:

They design, develop and provide production support of interactive data visualizations used across the enterprise. They  possess an artistic mind that conceptualizes, design and develop reusable graphic/data visualizations and uses strong  technical knowledge for implementing these  visualizations using the latest technologies.

​BUSINESS INTELLIGENCE (BI) ENGINEER:

They have data analysis expertise and the experience of setting up reporting tools, querying and maintaining  data warehouses. They are hands-on with big data and take a data driven approach to solving complex problems.

BI SOLUTION ARCHITECT:

They come up with solutions quickly to help businesses in making time sensitive decisions, have strong communication & analytical skills, passion for data visualization, and a drive for excellence and self motivation.

BI SPECIALIST:

They are responsible for supporting an enterprise wide business intelligence framework. This positions requires critical thinking, attention to detail, and effective communication skills.

ANALYTICS MANAGER:

An analytics manager is responsible for configuration, design, implementation  and support of data analysis solution or BI tool. They are specifically required to analyze huge quantities of information gathered through transactional activity. 

MACHINE LEARNING ENGINEER:

Machine Learning engineer's final "output " is the working software, and  their "audience" for this output consists of other software components hat run autonomously with minimum human supervision. The decisions are  made by machines and they affect how a product or services behaves.

STATISTICIAN:

They gather numerical data and then display it, and help companies to make sense of quantitative data and to spot trends and make predictions.

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