Data Analyst • Tasks & vacancies (2024)

As a data analyst, you examine large amounts of data for companies. In our post andVideoYou will find out everything about the tasks, the salary and the necessary requirements for the job as a data analyst.

Table of contents
  • What does a data analyst do?
  • How much does a data analyst earn?
  • Differentiation: Data Analyst vs. Data Scientist
  • How to Become a Data Analyst? Requirements and skills
  • Where does a data analyst work?
  • Career opportunities and specialization
  • Summary
  • Data Scientist

What does a data analyst do?

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A data analystevaluateduses software to evaluate existing data and use it to develop concepts and recommendations for action. It provides companies with valuable information that they can use, for example: For example, you can optimize your work processes, evaluate investments or create forecasts.

When you work as a data analyst, you take on oneVariety of tasks:

  • Goal setting:Together with company management, you determine the goals and questions of data analysis.
  • Data collection:You look for suitable data for the analysis from external and internal sources.
  • Data Wrangling:You prepare this data by structuring, cleaning and organizing it.
  • Analyse:You analyze and interpret data patterns using appropriate technologies.
  • Reporting:You summarize the results of your analysis and present them clearly to a mostly non-expert audience.
  • cooperation on the ETL process:You work together with software developers on the ETL process, where you create dataextrahierst,ttransformed and into the appropriate analysis softwareladst.
  • Database queries:You write queries using languages ​​like SQL.
  • Selection of the appropriate software: You use suitable systems to organize and model data.
  • Customer communication:Constant communication with your clients is also part of your daily business.

How much does a data analyst earn?

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You can start your career as a data analyst with an average gross annual salary of49.500 €start. After about five years, your salary will increase to about57.300 €. With between six and nine years of professional experience, your annual salary will be approximately62.300 €.If you have over ten years of professional experience and lead your own teams, your annual gross salary can be at least72.800 €and increase more.

Data Analyst • Tasks & vacancies (1)

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Data analysts currently earn an average across Germany56.900 €per year. As you can see, as a data analyst you can earn an above-average salary.

Other factors that influence your salary include:Size of the company, theFederal Stateand yourskillwhen negotiating salary. You can find out how the factors affect your salary and how you can increase it in our detailed articleData Analyst Salary.

Differentiation: Data Analyst vs. Data Scientist

In addition to the data analyst, there is also theData Scientist(Data Scientist), whose scope of work is broader. The main difference is that data analysts have a problem statementspecifiedget while a data scientisthimselfformulates the question, which he then answers using his data.

Further differences concern…

  • the academic qualification:While a data analyst only needs a bachelor's degree, a data scientist usually needs a master's degree because they are expected to have in-depth knowledge of mathematical and statistical models. With a few years of professional experience as a data analyst, it is possible to become a data scientist even without a master's degree.
  • The goal:Data analysts solve problems by analyzing data — data scientists look for patterns or trends in the data in order to open up new business opportunities.
  • the area of ​​responsibility:The work of data analysts is mainly limited to examining existing data. Data scientists clean these up too(Data Cleaning)and sort them.
  • the knowledge needed:For both professions, extensive knowledge of SQL queries and Oracle databases, business intelligence tools such asPower BIand data visualization likeTableauorShinynecessary. In addition, data scientists also develop their own machine learning models and have to be very knowledgeable about it.

Data Analyst • Tasks & vacancies (2)

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In short: Your tasks as a data analyst include thisTo report(Reporting),SummarizeandInterpretof existing data. There are two additional areas of activity for data scientists: extrapolating individual characteristics (extrapolation) and developing strategies from these patterns (data prescription).

How to Become a Data Analyst? Requirements and skills

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Now you will find out what requirements and skills are necessary to make a career as a data analyst.

Training / studies

A job as a data analyst is usually requiredcompleted bachelor's degreeexpected in one of these subjects:

  • mathematics
  • Statistics
  • Computer Science
  • Economics (economics with a focus on controlling/accounting or business informatics)
  • Data Science

You don't necessarily need a master's degree, but you can do so from the moment you start your careerearn more. However, the first ones are more importantProfessional experiencesin this industry, which many employers expect.

This is also why a data analyst is importantLateral entrypossible. Because of the shortage of skilled workers, an academic degree is not absolutely necessary: ​​you can, for example, gain a foothold in the field of data analytics by training as a mathematical-technical software developer or taking appropriate further training courses.


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For the job as a data analyst, it is important that you are familiar with the most commonTechnologiesknowledgeable in this area. These include:

  • Programming languages(Python, R, C/C++, VBA)
  • Database languages(SQL, MDX)
  • BI tools for reporting and data visualization(PowerBI, Tableau, Looker)
  • optional: secure use of cloud platforms(AWS, Azure)and statistical programs(SPSS, SAS)
  • Depending on the company/industry: specific specialist knowledge(e.g. in the area of ​​finance or online marketing)

Nice-to-havesYou also have knowledge in the areas of content management systems, project management and search engine optimization(SEO),Software and web development.

Important:You don't have to know all of the programs mentioned exactly. However, the broader you are, the better your chances are of getting a job as a data analyst.

Personal skills/soft skills

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Also in the area of ​​data analyticsSoft Skillsasked - after all, you also work with other departments and present your results to a mostly non-specialist audience. Applicants should therefore bring these personal skills with them:

  • analytical and solution-oriented thinking
  • quick perception
  • Working independently and accurately, even under time pressure
  • patience andAbility to concentrate
  • confident appearance
  • Data visualization
  • Communication and teamwork skills
  • good English knowledge

Where does a data analyst work?

As a data analyst you canvarious industrieswork.The more digital a company is, the more data is generated - this is what you need to evaluate as a data analyst. In this way, you provide the company with useful insights about the product, customers and internal processes.

Dielargest industriesThose looking for data analysts are:

  • Finance and insurance
  • Energy companies
  • Telecommunications/IT ​​and telephony
  • Healthcare
  • Advertising/Retail and E-Commerce
  • Marketing departments of companies
  • Market research
  • Scientific Research
  • Public administration

In general, data analysts are in demand wherever very large amounts of data are generated through ongoing processes.

Career opportunities and specialization

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As a data analyst you have very good career prospects: After an entry-level position asJunior Data AnalystorEmployee Data Analyticsyou can after just a few years of experienceSenior Data Analystrising up. Now you also take on manager functions, for example as a data manager or data scientist.

Depending on your personal interests and employer, you can further your career as a data analystspecialize. Depending on the respective industry, you may need more in-depth knowledge, such as current industry standards. You can also look upcertain data setssuch as vector or raster based data formats e.g. B. specialize in GIS (Geographic Information Systems).

Here are some examples of specializations:


processes data in the area of ​​statistics to create forecasts (e.g. in the insurance, pension and financial areas)


Expert in business processes (in demand in almost all industries)

Big Data Analyst

automatically analyzes huge amounts of data using algorithms

Clinical Data Analyst

is familiarizing himself with medical software

Customer Data Analyst

specifically analyzes data about customers

Financial Analyst

creates financial analyses

Marketing Analyst

Focus on market research and analysis

Risk Analyst

mostly in the banking sector or in management consulting

UX Data Analyst

specialized in the needs of users

Weather Analyst

examines weather data for institutes, energy providers and co.


Here you can see the most important facts about data analysts at a glance:

Data Analyst Overview

  • As a data analyst, you investigate large projectsAmounts of dataand interprets the results so that companies can optimize their processes.
  • Your starting salary with50.000 €can increase to over after just a few years of professional experience62.000 €increase.
  • In addition to knowledge of programming and database languages, analytical thinking and independent work are helpful for the job.
  • As a data analyst, you already have oneBachelor's degreevery good career opportunities, because data is generated in almost every industry.

Data Scientist

Do you already have a master's degree or have you gained several years of professional experience as a data analyst? Then the job of data scientist is interesting for you. Lookhereour video about it!

Als Data Analyst untersuchst du große Datenmengen für Unternehmen. Du wertest vorhandene Daten mithilfe von Software aus und entwickelst daraus Konzepte und Handlungsempfehlungen. Deine Aufgaben umfassen die Zielfestlegung gemeinsam mit der Unternehmensführung, die Datenbeschaffung aus externen und internen Quellen, das Aufbereiten der Daten durch Strukturierung, Bereinigung und Organisation, die Analyse und Interpretation von Datenmustern, das Zusammenfassen und Präsentieren der Analyseergebnisse einem meist fachfremden Publikum, die Mitarbeit am ETL-Prozess, das Schreiben von Datenbankabfragen mit Sprachen wie SQL, die Auswahl der passenden Software zur Organisation und Modellierung von Daten, sowie die Kundenkommunikation. Du kannst in verschiedenen Branchen arbeiten, wie Finanzen und Versicherungen, Energiekonzerne, Telekommunikation/Informatik und Telefonie, Gesundheitswesen, Werbung/Einzelhandel und E-Commerce, Marketingabteilungen von Unternehmen, Marktforschung, wissenschaftliche Forschung und öffentliche Verwaltung. Deine Karrierechancen als Data Analyst sind gut, und du kannst dich je nach Interesse und Arbeitgeber weiter spezialisieren. Ein Data Analyst benötigt in der Regel einen Bachelorabschluss in Mathematik, Statistik, Informatik oder Wirtschaft. Ein Masterabschluss ist nicht zwingend erforderlich, kann aber zu höherem Gehalt führen. Wichtige Fähigkeiten für diesen Job sind Kenntnisse in Programmier- und Datenbanksprachen, analytisches Denken, selbstständiges Arbeiten, gute Kommunikations- und Teamfähigkeit sowie gute Englischkenntnisse.

Data Analyst • Tasks & vacancies (2024)


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