Big Data Analyst (Definition)

What are the tasks of a Big Data Analyst?

A Big Data Analyst is responsible for planning, designing, implementing and integrating IT solutions. This includes advanced, predictive and prescriptive analytics based on internal, external, structured and unstructured data. He conducts requirement analyses for customers in all industries. He identifies databases and their use in the company for the development and evaluation of new usage ideas. A Big Data Analyst analyses extensive data stocks or data streams from sensors, business systems and social media. He also advises clients on data science and analytics.

Requirements for a Big Data Analyst

A Big Data Analyst has a university degree (Master of Science or doctorate) in mathematics (applied, ideally with a focus on statistics), physics (experimental, e.g. particle or high-energy physics), computer science with a focus on information management/business intelligence or a comparable education. A Big Data Analyst is a communication and presentation talent, is fluent in German and English and always customer-oriented. He or she should also have a sound knowledge of data analysis/data mining. A Big Data Analyst is characterized by professional handling of complex contexts and large amounts of data. Sound knowledge of statistical analysis software rounds off his profile.