Top 12 Interesting Careers To Explore In Big Data

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 evaluable big data solutions within organizations .

MACHINE LEARNING SCIENTIST

 They work in the research and development 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 , designs , and develops 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 and analytical skills , passion for data visualization , and a drive for excellence and self motivation .

BI SPECIALIST

 They are responsible for supporting an enterprise video business intelligence framework . This position 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 solutions or BI tools . They are specifically required to analyze huge quantities of information gathered through transaction 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 that run autonomously with minimal human supervision . The decisions are made by machines and they affect how a product or service 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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