“Data are becoming the new raw material of business,” says chief research and strategy officer of Microsoft Corp Craig Mundie as he describes the importance of data in today’s business environment. In this digital age, a bulk of data generates from various sources, such as social data, machine data, and transactional data. These data combine structured, semi-structured, and unstructured data, emerging as big data.
In general, big data is raw and needs to be processed to gain helpful information. Big data analytics help businesses set realistic goals, improve operations, and provide better customer service. Thus, professionals with big data analytics skills are in huge demand. Still, there is a significant deficit in the supply of skilled professionals in the data analytics arena.
As data analytics-related professionals are scarce and their demand is vast, pursuing a Data Analytics course can provide you with a wide range of benefits. Frankly, a data analytics degree is crucial to land a well-paying job in tech giants across the world. Read on to explore some most in-demand, high-paying big data analytics jobs.
Most in-demand big data analytics jobs
Let’s check out the most in-demand job roles in the field of big data analytics.
- Data Analyst
A Data Analyst analyses data using statistical methods. Apart from this, a Data Analyst also develops databases and acquires data from various sources. They identify and interpret ongoing trends and patterns in complex sets of data. A group of technical and soft skills is required to become a Data Analyst, including data visualisation, data cleaning, R, Python, machine learning, Linear Algebra, SQL, and NoSQL. According to Glassdoor, a Data Analyst in Germany earns EUR 52,757 a year.
- Data Scientist
A Data tunai4d Scientist performs analytics to make value out of raw data. Individuals proactively fetch information from various primary and secondary sources in this profession. In addition, a Data Scientist is involved in designing predictive models, incorporating deep learning and machine learning. Technical skills required for Data Scientist’s role include statistical analysis, machine learning, deep learning, data wrangling, data visualisation, mathematics, and programming. According to payscale, a Data Scientist in Germany earns EUR 55,509 per year.
- Business Analyst
A Business Analyst monitors and understands the business’s changing needs according to the trend. They consistently analyse the impact of change on the company and take all necessary steps to smoothly run an organisation or firm. Skills required for Business Analysts roles include MS Office, Storytelling, conscious listening, and Power BI. According to payscale, a Business Analyst in Germany makes EUR 58,960 per year. bundlenews
- Big Data Engineer
A Big Data Engineer works towards designing the big data platform’s architecture. They also maintain a pipeline of data and structure data. Moreover, a Big Data Engineer set up tools for data scientists, helping them access data. Skills for a Big Data Engineer role include analytical skills, data visualisation, programming, SQL, data mining skills, knowledge of big data tools. According to payscale, a Big Data Engineer in Germany makes EUR 61,386 per year.
Interested students can apply to the Data Analytics course in Berlin’s top universities for an enhanced learning experience. Apply now!