Further training in data analysis & big data

Who is training as a data analyst suitable for?

A data analyst or A data analyst evaluates data that arises in a company, for example in production. This data obtained is then visualized so that other departments such as sales or purchasing can use it Based on the analyzed data, decisions can be made in order to make internal company processes more efficient. So data analysts work between technical departments and other departments with less technical expertise.

These specialists use appropriate databases such as MicroStrategy or PowerBI to evaluate the data. Daily use of programming languages ​​such as Python is essential in the everyday work of a data analyst. You should also have experience working with common software applications such as R, SPSS or Business Intelligence. With the help of this application knowledge, the so-called raw data can be structured and evaluated.

Data analysts are not only active in analyzing the data, but also in software development, which is only possible after data has been analyzed.

In short, applicants for this job should definitely be technically versed and have a certain basic understanding of numbers and data, especially computer science. Experienced in using common programming languages ​​such as Java or Python and enjoy communication because they work a lot together as a team on project implementations and also a lot in customer contact stand.

How to Become a Data Analyst?

One Training or study as a basis for further training to become a data analyst is no longer a mandatory requirement.

If you choose your career path in the IT industry right from your training, many people starting their careers start with a three-year training course to become an IT specialist. You could then complete a course of study at a university or technical college, which would allow you to specialize directly in the field of data analyst. For example, there are Master's degree programs in Data Analytics or the Bachelor's degree program in Data and Information Science. To do this, you should first find out about the courses on offer at the respective university or technical college.

If you don't have any university requirements or even come from a completely different profession, you also have many options with appropriate ones Further training or retraining in lateral entry to learn the profession of data analyst.

Offered here IHK courses to become a data analyst or a certificate course in data analytics and big data.

Specializations as a data analyst

In the data analyst profession, there are essentially three branches in which specialization can be developed:

• The "Financial Analyst": In the financial sector, these data analysts work primarily in risk management at insurance companies.
• The "Big Data Analyst": Big data analysts mainly deal with raw data and prepare it so that it becomes usable. So from “Big Data” to “Smart Data”.
• The "Data Analyst Business Intelligence (BI)": These analysts usually work in various companies in different industries, increasingly in the areas of corporate processes, controlling or marketing.

Data analysts are now as valuable as gold. They ensure that corporate processes can be made more efficient as a result of digitalization and contribute a large part to economic growth. That's why skilled workers with this know-how have excellent future prospects in their profession.

Anyone who is generally interested in computer science, a lot of data and numbers and has an affinity for working in a team or in exchange with customers, there are many opportunities to become a data analyst start.