Data analytics offers companies completely new possibilities for value creation and decision-making. This makes you irreplaceable as a data analyst!
What was completely unimaginable just a few years ago is now the daily business of data analysts. And perhaps also for you in the future, if you take the step to IT career entry with our 12-week bootcamp. Thanks to AI and the combination of statistics and computer science, data analysts can now do what was considered illusory just a short time ago: deal with almost infinite mountains of data that grow by the second in an organized manner. Last but not least, they are able to derive maximum benefit from all this data for the future success of the company. This makes data analysts a decisive variable for success!
Data Analytics: indispensable for success
The importance of Big Data for the global economy and research is now so great that the International Data Corporation forecasts an average annual growth of 12.8 % in global sales for Big Data and business analytics. Considerable, given that global spending last year was already a whopping $215.7 billion.
This is mainly because the volume of data available continues to grow due to the rise of various data-driven and intelligent tools such as AI systems and IoT devices. In parallel, the velocity of data is also growing. Experts predict that by 2025, more than 463 exabytes of data will be created every day, which is equivalent to about 212,765,957 DVDs per day. But that doesn't make data analysts break out in a sweat - on the contrary! Because data is exactly their thing.
The bottom line: Data analytics experts are indispensable for companies to be competitive. 💥
What do data analysts do? A job description
Your job as a data analyst is to explore, transform, and analyze homogeneous and heterogeneous data sets. The goal is to identify repetitive patterns, based on which informed business decisions can be made that increase efficiency. Data analytics is a regularly recurring, predominantly automated process that takes place in real time. The task of data analysts is to set up, monitor and adapt this process. Various tools and techniques are used to make the collection, organization and storage of data more efficient. A modern data analytics strategy enables management to act and make decisions based on automated real-time analysis and trend forecasts.
Data Analytics vs. Data Science
Does that ring a bell? That's right. Data analytics is closely related to data science. The little sister. But where exactly lies the difference in the job description? Data scientists look into the future. Analysts, on the other hand, are professionals in retrospective and status-quo reporting. Their analysis is based on KPIs and known issues. The basis is industry know-how and often departmental affiliation.
A small example? Here you go. "Why did sales drop in the last quarter?" "Why is the marketing campaign in Region A doing better than Region B?" Data analysts* provide the answer.
Tasks at a glance:
Data management, mining and analysis (advanced analytics).
Converting raw data into the appropriate format (Data Wrangling)
Definition of goals and issues with the company management or specialist department
Collection of data from external and internal sources
Implementation of appropriate systems for data organization and data modeling
Analysis and interpretation of patterns and trends
Database cleansing, error analysis and correction
Creation and development of reports
What skills are required?
If you want to make a career as a data analyst in the future, you need to be interested in math, descriptive statistics and, above all, lots of numbers. You'll learn the rest with us in the neue fische Data Analytics Bootcamp in just 12 weeks. The rest includes, for example, basic knowledge of how to use programs for data collection and analysis. You will learn how to work with the usual data analytics and business intelligence tools (BI tools) and how to write queries for SQL databases. Furthermore, we make you fit in data visualization via Tableau.
Analysts deal with large amounts of information on a daily basis. The job description in turn requires a high level of concentration and precision. At the same time, they work in a team and should therefore enjoy interacting with many people.
Skills of Data Analysts:
Mathematical and statistical know-how
Basics of programming and programming languages like Python
Knowledge of SQL databases
Database management and reporting as well as data analysis
Business thinking and basic knowledge in controlling, marketing and finance
Confident use of BI tools
Correct, very accurate work as well as analytical thinking
Good communication and presentation skills
Interest in innovative technologies such as artificial intelligence and machine learning
Salary: What do data analysts earn?
In this field, too, everything depends on professional experience and specialization. Juniors and career changers start with an annual salary of around €45,000. This varies slightly depending on the federal state, industry and company size. From the fifth year onwards, annual gross earnings of around €55,000 are possible. Oldie but Goldie: After more than 10 years as a data analyst and with a management function, annual earnings can climb to over €90,000.
Make yourself irreplaceable!
Anyone can become a data analyst! You too! Our training is suitable for anyone who has a desire to learn, a dose of courage and a university degree. Okay, work experience is also enough. However, it would be great if you have some rudimentary basics in mathematics or physics as well as an interest in business tools such as CRM or ERP software. And the rest? You'll learn it at the bootcamp! The job description got you hooked? So: Go to the Data Analytics Bootcamp and after only 12 weeks you will have your finger on the pulse of time. Let's code! 🌈