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Data Analyst

(Data Scientist, Informatieanalist)

Tech & Engineering

Salary

€35.000 - €65.000/yr

Level

Mid-level

Outlook

prognosis_growing

What does a Data Analyst?

(Data Analist) As a Data Analyst, you are responsible for collecting, structuring, analyzing and interpreting diverse data to deliver valuable insights that help the organization grow. You work daily with various data sources, such as internal systems, customer data, market data and operational statistics. Using analytical tools, dashboards and statistical software, you transform raw data into clear information, making trends, patterns and anomalies visible. You not only investigate what is happening, but also why it is happening and what this means for the future direction of the organization. Additionally, you play an important role in creating and maintaining data infrastructure, such as setting up data models, monitoring data quality and optimizing data flows. You regularly collaborate with IT teams, engineers and other analysts to automate processes and make reporting more efficient. Through this, you contribute to a stable, well-functioning data environment that is essential for reliable analyses. You present your findings in a clear and convincing manner to management and other stakeholders. You do this through reports, dashboards and presentations in which you convert complex information into clear conclusions and concrete recommendations. Based on your insights, strategic decisions are made regarding marketing, product development, operations, finance and customer strategy. The role of Data Analyst takes place in an analytical, data-driven environment, where accuracy, problem-solving thinking and curiosity are central. Your work has a direct and visible impact on the organization, because you help improve business processes, identify opportunities and signal risks in time. You are a crucial link in realizing a culture where decisions are made based on facts instead of assumptions.

Required Education

For a position as Data Analyst, typically an HBO or university degree is required in a field such as Applied Mathematics, Econometrics, Business Administration, Computer Science or Data Science. If you go through HAVO/VWO, preferably choose the Nature & Technology (N&T) profile, where mathematics and possibly chemistry or physics are important subjects for developing analytical thinking skills. Strong skills in statistics and programming are essential, and you can develop these during your studies or through additional courses. Although formal education is strongly preferred, candidates with an MBO background in ICT or Business Intelligence can sometimes also grow into this role through relevant work experience and obtaining data-related certifications.

Required Skills

Career Perspective

As a Data Analyst, you can grow from entry-level positions such as Junior Data Analyst, Business Intelligence Trainee or Reporting Specialist to senior positions. Your natural next steps are Senior Data Analyst, Data Scientist or Business Intelligence Consultant, where you perform more strategic analyses and start leading teams. With experience, you can further grow to roles such as Head of Analytics, Chief Data Officer or Product Manager Data. The field offers excellent prospects due to the growing demand for data-driven decision making in all sectors.

AI Impact on the job

AI transforms the role of data analysts by automating repetitive tasks, such as data collection and basic analyses. This allows analysts to focus more on complex interpretations and strategic decision making. New skills such as AI knowledge and experience with machine learning are becoming increasingly crucial. The job market will evolve: while some positions may disappear due to automation, demand is emerging for professionals who can effectively deploy AI tools. This may lead to a shift in skills, where collaboration between humans and AI is central.

Career Ladder

Steps Up

Senior Data Scientist
Data Engineer

→ Data Analyst (Current role)

Typical Previous Roles

Junior Data Analist

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