If you have been looking forward to securing Data Analyst jobs in Netherlands, then you have come to the right place.
There are numerous job offers for you, including niche programming languages, emerging technologies, and different specific IT open roles. Unfortunately, there are dozens of worker shortages in the Netherlands to fill these IT roles. Given the number of job openings in the Netherlands, the most highly well-paid IT job is data analyst.
According to the research, the Netherlands has become the hub of tech talent and the second-largest startup ecosystem in Europe, behind only London. The Amsterdam region alone has spawned some of the biggest names in tech, including Booking.com, Adyen, and WeTransfer worldwide.
Whether you are an early career data scientist or work in any tech-related field, the Netherlands has a great pool of IT vacancies waiting for you. The Netherlands provides job opportunity to work in any IT field, as tech jobs are widely presented.
Choosing the Netherlands as your next destination for your Data analyst job means you have made the best decision you will never regret. The IT Field has become the only reliable pathway to secure your dream job.
From finance to healthcare, technology to retail, organizations across sectors rely on data analysts to unlock the potential of their data assets.
In the article, we’ve provided you with A Complete Guide For Data Analyst Jobs in the Netherlands 2024, including job requirements and skills before you apply for Data analyst job in Netherlands.
Data Analyst Jobs in Netherlands
According to the Bureau of Labor Statistics, the employment of research analysts (including data analyst) is expected to increase by 23% from 2019 to 20311. Compared to other niches, Data analysts have a good future prospect.
Data analysis involves gathering, cleaning, analyzing, interpreting, and presenting data visualizations to help solve business problems and provide organizations with valuable insights. Data analysts use various tools, such as Power BI and Tableau, to automate data collection and tasks and gather and display data efficiently using dashboards.
As a data analyst, you can work in different industries, analyzing sales figures, profit margins, advertising market data, and health data.
Moreover, the role of the data analyst has become prominent and thus more on-demand than ever. This includes integrating machine learning into task automation processes and providing analysis, insights, and storytelling, which are not limited to the data analyst functions.
Due to the ever-changing landscape of the nature of the jobs, data analysts have now become the data analytics skills shortage, which has led to organizations competing for the same candidates2. Due to this skill shortage, companies are now curious to hire talented data analysts who can turn raw data into actionable insights for your business. Data analytics jobs have become a central attraction For everyone looking for tech jobs in the Netherlands.
Types of Data Analysts.
As the work of data analysts expands to different roles to cater to the diverse needs of organizations in extracting insights from data. Data analysts have also widened its department, which contains are listed in the following:
Business Analyst
Business analysts work with organizational stakeholders to analyze business development, gather data, and conduct analyses to identify trends, and patterns, and provide unique opportunity. They also help transform data insights into actionable recommendations that align with organizational goals and objectives.
Data Scientist
data scientists have extensive knowledge of statistical and analytical techniques. They develop and apply complex models and algorithms to extract insights from data. Moreover, they work on complex data analysis projects utilizing Deep learning, machine learning, and predictive modeling approaches.
Data Engineer
Data engineers focus on data management, collection, and storage. They design and build robust data pipelines to provide innovative solutions and ensure data quality, integrity, and availability. Not only that, but data engineering work also involves maintaining data warehouses, databases, and data infrastructure.
Data Visualization Specialist
Data visualization specialists create and present data that is visually compelling and understandable. They use various tools and resources to develop visually appealing dashboards, charts, and infographics that communicate data insights to stakeholders. Data Visualization has a penchant for visually appealing design that can convey the principles of effective data communication.
What are Data Analyst Tasks and Responsibilities in an Organization?
According to research, a data analyst is someone whose job is to gather and interpret data to solve a specific problem. A data analyst’s role is to use data and communicate findings.
Below are the primary responsibilities of data analyst in their day-to-day activities:
Gather data:
Data analysts are tasked with collecting data themselves. This could involve conducting surveys, monitoring visitor characteristics on a company website, or buying datasets from data collection professionals.
Clean data:
Cleaning the data involves maintaining the data quality in a spreadsheet or through a programming language so that your interpretations won’t be wrong or skewed. Some Raw data might contain errors, duplicates, or outliers.
Model data:
Model data means creating and designing a database’s structures. A data analyst might choose which data types to store and collect, establish how data categories are aligned, and examine how the data appears.
Interpret data:
Data interpretation means investigating patterns or trends in data that could answer the question.
Present:
Your primary role will be presenting evidence and communicating the results of your findings. This means creating visualizations like charts and graphs, writing reports, and presenting information to interested parties.
Data scientist
A Data Scientist is an analytics expert responsible for collecting, analyzing, and interpreting data to help drive organizational decision-making. They use advanced analytics techniques such as Machine learning, predictive modeling, and applying scientific principles. Other typical job functions of a Data scientist include the following:
- Gathering and preparing relevant data to use in analytics applications
- Developing statistical and predictive models to run against the data sets
- Creating data visualizations, dashboards, and reports to communicate their findings.
- using various types of analytics tools to detect patterns, trends, and relationships in data sets
Data architect engineer
A Data architect engineer is an IT professional who specializes in analyzing data by creating algorithms to find trends that occur and translate them for operational use. This makes it easy to access for organizations when interpreting raw data. Moreover, there are standard job functions of a Data architect engineer, which include the following:
- Integrating data and business operations into a data system
- Organizing large data sets for organizational use
- Maintaining the data infrastructure and scaling it to handle growing company data
- Creating algorithms to analyze data
Data Management consultant
A data management consultant offers technical leadership in database design and implementation, cloud database services, master data management, modeling, quality, governance, access, and integration. Other typical job functions of a data Management consultant include the following :
- Lead domain strategy, collaborating with business units and corporate functions to ensure domain strategy meets corporate and business goals.
- Guidance on implementing the MDM Solution
- Oversee periodic reviews to ensure continued compliance with the data governance policies (including compliance assessments, monitoring, and control testing)
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Why should you hire a Data analyst?
There has been a wave of concern about whether an organization needs to hire a data analyst professional. If you also doubt the importance of having a data analyst on your cross functional teams, Here are 4 Reasons Why You Should Hire a Data Analyst.
Recognizing your demographic
Knowing client patterns and demographics plays a prominent factor in company success, no matter what your company sells, manufactures, or creates. From your website to your social feeds and client database, the client database will be awash with fascinating data that, when properly analyzed, can aid in understanding your target audience and their behaviors.
Evidence-based decision-making
Every decision made in a company must have access to data.
Sometimes, decisions in reputable organizations can take weeks to execute, while decisions can be made quicker in smaller or more agile enterprises. A data analyst can often tailor the decision-making process by analyzing, extracting, and presenting a straightforward data collection from different diverse backgrounds and sources to decision-makers.
Retest and test again
Data analysts can obtain and analyze information to ensure the right pathway is taken and multiple tests to discover which outcomes would be more favorable and valuable to the organization.
They will track metrics connected to any slight omission so that when the decision-making process is complete, there will be no errors or costly blunders.
Proactive
Every reputable company has a few short-time employees. While you may have every intention of implementing techniques, loyalty marketing, and CRM programs, few people have the time to do so.
A data analyst will define, design, and maintain these tools and analytics. At the same time, the analyst will provide team recommendations and help fellow employees with analysis and data tracking.
What tools do data analysts use?
As discussed in our previous post above, getting data analysts in the Netherlands has become a center of attraction for higher companies if you are looking forward to starting a career as a data analyst in the Netherlands. If you are an applicants, Here are the data analysis tools to know:
Data-analyst job requirements and skills
When searching for a data analyst job in the Netherlands, different job requirements and skills depend on your business needs and your industry. Thus, when you are ready to apply for any job role in the data analyst field, You’ll also need to painstakingly consider what level of experience the successful applicants will need to gather to secure the job.
Here are some handful of standard data-analyst job requirements and skills you need to land your dream job according to TestGorilla
applicants should meet the following requirements:
- Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
- Strong programming experience with frameworks including XML, JavaScript, and ETL
- Coding skills in languages such as SAS, R, Stata, or Python
- Advanced knowledge of SQL and Excel functions
- Ability to present work to technical and non-technical teams for approval
- Experience with data-visualization tools such as Power BI and Tableau
- Experience creating databases and developing existing frameworks
- Experience with supervised and unsupervised machine learning techniques
- Solid planning, priority setting, and project-management skills
- Excellent verbal and written communication skills
Data analysis recruitment process in Netherlands
We’ve detailed important ways data analytics enhances the recruitment process in the Netherlands.
Big Data in Recruitment
This involves the volume, velocity, and variety of collected data. In recruitment, Big Data can be used to improve workflows and processes and achieve deeper personalization of customer success.
Predictive Analytics
Predictive analytics is known as forecasting. It uses data science, statistics, machine learning, and predictive modeling techniques to predict metrics surrounding the hiring process. For instance, you could use predictive analytics to forecast key performance indicators like time-to-fill for a specific role.
AI and Machine Learning in the Recruitment Process
AI and machine learning are hugely valuable tools for any business to have in their arsenal—and recruitment agencies are no exception. In 2024, the most significant benefit of AI and machine learning is the boost they give your resources.
