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Data Analyst / Data Visualization Expert (F/M/X)

Amaris Consulting -
Eindhoven

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Vacaturegegevens

Kwalificaties

Power BI
Informatica
R
Tableau
Java
Master
SQL
Analytisch vermogen
Bachelor
ICT
Communicatieve vaardigheden
Python
Datawetenschappen

Volledige vacaturetekst

Amaris Consulting is looking for a Data Visualization & Analytics Specialist who is passionate about turning data into clear, actionable insights. In this role, you will analyze complex datasets, build impactful dashboards, and help stakeholders make data-driven decisions across the organization. This position is ideal for a data professional who combines strong analytical skills with a talent for storytelling and visual communication, and who enjoys working at the intersection of data, technology, and business. The role will support a key client of ours.

Key Responsibilities

As a Data Visualization & Analytics Specialist, your role may include:

Analyzing datasets to identify trends, correlations, and patterns
Designing and developing dashboards and reports using tools such as Power BI, Tableau, QlikSense, or QuickSight
Translating stakeholder requirements into actionable data insights
Communicating findings clearly to both technical and non-technical audiences
Ensuring data quality and integrity through continuous auditing and validation
Collaborating with cross-functional teams to embed data-driven insights into business strategies
Providing guidance on best practices in data visualization and data storytelling
Applying machine learning techniques to enhance predictive analytics and uncover deeper patterns in data
Staying up to date with emerging trends and techniques in analytics, machine learning, and visualization

Your Profile

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
3+ years of experience in data analysis and data visualization
Strong experience with data visualization tools (Power BI, Tableau, QlikSense, QuickSight, or similar)
Solid analytical skills with hands-on experience in SQL, Python, and/or R
Hands-on experience with machine learning — and a genuine enthusiasm for applying it to real-world data challenges
Experience with Java for data processing or system integration
Excellent communication skills with the ability to translate complex data into clear insights
Detail-oriented, structured, and quality-driven

Nice to have:

Experience in Dutch

Why Join Us?

Contribute to impactful and innovative engineering projects across the Netherlands.
Join an international consulting environment focused on growth, digital transformation, and continuous learning.
Collaborate with major global industry leaders across sectors such as technology, manufacturing, and life sciences.
Enjoy a hybrid work model with a blend of office and remote work.
Work within a diverse, international network supported by global hubs and centers of excellence.
Benefit from additional perks such as performance bonuses and mobility options.

Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this reason, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!

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data vacatures in 5721 asten

Data Analyst / Data Visualization Expert (F/M/X)

EngD in Data Interaction for Remote Heart Failure Monitoring

Senergetics: Data Scientist Intern

Business Data Analyst

Quality & Data Officer

Data Analyst project BEL, 4 months

ESG Data & Compliance Specialist

Officier Data (HBO/WO)

Data Analist

Data Governance Consultant

Data Analyst

Data Consultant

Data Scientist

Data & Tech Specialist

Business Data Steward

PE Master Data Coördinator

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data in 5721 asten

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Your Profile

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