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data analyst analytics engineer

Insify

<div>
 
 About Insify
 
 
 We are a high-growth scale-up backed by &euro;43M in total funding from world-class investors like Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg. While we started our journey five years ago in the Netherlands, we have since expanded into France and Germany, and we&rsquo;re just getting started. Our mission is to dominate the European market and become a global leader in AI-powered SME insurance.
 
 
 We aren't just building a company; we&rsquo;re leading a revolution. Our culture is intense, high-stakes, and mission-driven. We hire smart, ambitious "owners" who possess a relentless drive to win. This is an environment for those who thrive on challenges, value intellectual honesty, and share our mindset of becoming a global category leader.
 
 
 Our founding team consists of seasoned entrepreneurs who have previously built iconic businesses like HelloFresh, Bloomon, and SumUp. We combine that deep fintech and e-commerce expertise with cutting-edge AI to stay ahead of the curve.
 
 
 We're looking for a highly motivated
 
 Analytics Engineer
 
 who will work closely with Product and Insurance departments to bring instant, tailored and affordable financial safety products to entrepreneurs.
 
 
 
 What you'll be up to (some examples):
 
 
 
 <ul>
 <li>
 Define and calculate KPIs for product and feature launches to track our trajectory toward 10x simplicity
 </li>
 <li>
 Identify opportunities and provide data-driven recommendations that influence our roadmap
 </li>
 <li>
 Answer analytical questions and analyse A/B tests to ensure we draw the right conclusions from every experiment
 </li>
 <li>
 Create and maintain interactive dashboards (using Databricks and QuickSight) for real-time metrics monitoring
 </li>
 <li>
 Contribute to the data transformation code base (using dbt and Git) to ensure our data infrastructure is as modern as our software
 </li>
 <li>
 Own outcomes within your scope &mdash; from problem definition to delivery
 </li>
 <li>
 Operate in ambiguity and make decisions without perfect information
 </li>
 <li>
 Collaborate closely with colleagues across functions to bridge the gap between "the floor" and "the lab."
 </li>
 <li>
 Improve how we work by spotting inefficiencies in our data workflows and proposing better ways
 </li>
 <li>
 Balance speed and quality in a fast-moving environment
 
 
 
 
 </li>
 </ul>
 
 This role is a strong fit if you:
 
 
 
 <ul>
 <li>
 Have excellent SQL skills: You can calculate any metric in a readable and efficient way
 </li>
 <li>
 Are proficient with dashboarding and code tools: You have experience with tools like Databricks, QuickSight, and Git to organise your work
 </li>
 <li>
 Understand the "Why": You have a strong grasp of Statistics and A/B testing to draw meaningful conclusions
 </li>
 <li>
 Possess a growth mindset: You have a passion for continuous learning and seeking feedback to drive personal growth
 </li>
 <li>
 Take ownership naturally: You don&rsquo;t wait for perfect instructions and thrive in the "grey area"
 </li>
 <li>
 Can turn messy problems into clear, actionable plans: You are hyper-organised and process-obsessed
 
 
 
 
 </li>
 </ul>
 
 This role is not for you if:
 
 
 
 <ul>
 <li>
 You are looking for a strict 40-hour work week
 </li>
 <li>
 You need fully defined scopes and stable priorities to perform well
 </li>
 <li>
 You prefer staying high-level and avoiding hands-on execution
 </li>
 <li>
 You expect long ramp-up periods before taking ownership
 
 
 
 
 </li>
 </ul>
 
 We offer:
 
 
 
 <ul>
 <li>
 Competitive compensation that reflects responsibility and impact
 </li>
 <li>
 Trust and autonomy: you&rsquo;ll have real ownership and room to make decisions Space to grow and shape your role as Insify evolves
 </li>
 <li>
 A steep learning curve, with support from experienced teammates
 </li>
 <li>
 The opportunity to share in what we&rsquo;re building, with equity for eligible roles once there&rsquo;s mutual conviction on fit and impact
 </li>
 <li>
 A welcoming, central Amsterdam HQ where we work closely together: shared lunches, dogs in the office, whiteboards, and fun end-of-week drinks
 </li>
 <li>
 An international, ambitious team that enjoys building meaningful things together
 
 
 </li>
 </ul>
</div>

Data Analyst / Analytics Engineer

Invest-NL N.V.

<div>We believe the Netherlands needs to become more sustainable and innovative. Fortunately, there are many entrepreneurs with strong plans for the future. Invest-NL exists to finance and support them. We do this with courage, decisiveness, and enthusiasm. Will you join us?
For the Invest-NL data team, we are looking for a working student who will help our data scientist for advanced analytics projects, and our development team for building our data platform, which will be the single source of truth for reporting and BI.
The data team is still growing and currently consists of six team members including a teamlead, a data scientist, a data engineer, a BI analyst, a PowerBI developer, and a working student.
This is what you will do
As a working student in the data team, you will be directly involved in data analytics and product development projects, under the supervision of our data scientist and data engineer. The responsibilities include:<ul><li>
Assist in the design, implementation and validation of data analytics projects for business stakeholders;</li><li>
Helping with the development of the internal data platform and infrastructure;</li><li>
Collaborate with other colleagues (such as business developers or investment managers) and external parties (such as industry experts) to better understand their requirements.</li></ul> 
Qualifications<ul><li>
Strong foundation in data science concepts;</li><li>
Experience with Python programming;</li><li>
Hands on experience with LLM API/MCPs;</li><li>
Strong communication skills, with the ability to explain complex technical concepts to non-technical colleagues;</li><li>
Strong foundation in data engineering, including SQL, ELT, ETL concepts;</li><li>
Experience with Databricks &amp; GitHub, experience with Streamlit is a plus;</li><li>
Basics in data modelling understanding.</li><li>
Basic understanding of cloud concepts (Azure/AWS/GCP);</li><li>
Ability to work collaboratively in a scrum team environment;</li><li>
Previous experience with project work or internships related to data science or engineering is a plus;</li><li>
Fluent in spoken and written English. (Dutch is a plus).</li></ul>
We offer
As a Working Student within the Data team at Invest-NL, you will work together with a passionate team on building a better future. You can count on a pleasant and open working environment, inspiring work, and plenty of room to develop yourself. Our employment conditions are also attractive:<ul><li>
Salary: &euro;2,400 per month based on a 36-hour workweek;</li><li>
Flexible compensation: A Benefit Budget worth 20.95% of your monthly salary. This consists of 8% holiday allowance, 8.33% year-end bonus, and a personal budget of 4.615% representing above-statutory leave (86.4 hours per year based on a 36-hour workweek);</li><li>
Leave: Attractive and flexible leave arrangements;</li><li>
From A to Sustainable: Sustainable mobility policy, including private use of public transport;</li><li>
For the future: A solid pension plan (including a 2% personal contribution and a high employer contribution, depending on age, ranging from approximately 15% to 35%);</li><li>
Room for social impact: Up to 2 Impact Days per year for volunteer work during working hours;</li><li>
And although not an employment condition, certainly just as important: driven colleagues to work with. Shared lunches twice a week, fun outings, and sporting activities (such as Cycling 4 Climate and padel tournaments).</li></ul>
Are you the one we&rsquo;re looking for?
We would love to receive your application before July 6, 2026! Do you have any questions? Please contact Lucas Erkens at (lucas.erkens@invest-nl.nl). Our selection process consists of two interview rounds. You will receive a response within two weeks after the closing date. We reserve the right to close the vacancy earlier as soon as enough suitable applications have been received.
Invest-NL aims to be an attractive employer for diverse talent that wants to make a difference. We foster a team where you can be yourself, where everyone has equal opportunities, and where people can reach their full potential, regardless of gender, background, age, disability, religion, or sexual orientation. Diverse perspectives and backgrounds make us stronger. This helps us stay connected to society and strengthens our collective thinking power.
Screening is part of the application process and will take place after agreement on employment conditions has been reached.</div>

Working Student Data (24-hours)

Elsevier

<div>Product Analyst
About Our Team
The Product Analytics team turns behavioural and product data into insights that help us evaluate product changes, improve user experience and influence product strategy. We work closely with Product Managers, UX Designers, Engineers and senior stakeholders to understand user behaviour and identify opportunities with the greatest customer and business impact.
About The Role
In this role, you will lead the Product Analytics scope for one or more of our fast-growing, innovative, world-leading products.
You will be part of an analytics team of 30+ analysts located in Amsterdam and London, working with product teams and stakeholders across the US, UK and the Netherlands.
Responsibilities:
Understand User Behaviour
Use behavioural and transactional data to measure user journeys, adoption, engagement, retention, conversion and satisfaction. Use techniques such as funnel analysis, cohort analysis, user segmentation and feature adoption to generate actionable insight.
Define Product Success
Partner with Product Managers and other stakeholders to translate customer needs, product strategy and business objectives into clear product goals (OKRs) and success metrics.
Evaluate Product Changes
Design measurement approaches for new product features, launches and iterations (including A/B testing and experimentation), to determine whether changes are driving customer and business outcomes.
Use AI-Assisted Practices
Use AI tools to accelerate analytical workflows, including SQL and Python development, exploratory analysis, visualisation and documentation. Apply agentic working practices by breaking complex questions into clear briefs for AI assistants and applying human judgement and validation checks to ensure results are accurate and useful.
Communicate Insight Clearly
Tell compelling stories with data through concise analysis, presentations, and dashboards. Communicate insights and recommendations effectively to audiences ranging from product squads to senior leadership. Help stakeholders interpret results and make confident, data-informed decisions.
Improve Measurement Quality
Work with Product and Engineering colleagues to ensure the right product data capture is in place. Define tracking requirements that make future product decisions easier and more reliable.
Requirements:
Product Analytics Experience
A minimum of 3-5 years of hands-on experience in Product Analytics, Digital Analytics or a closely related analytical role where you have used data to influence product decisions, feature development or customer experience improvements. Whether you are an emerging senior analyst or a seasoned expert, we would love to hear from you.
Technical Proficiency
SQL and Python/R - Advanced skills for deep-dive analysis, statistical work, and visualisation.
Web Analytics &ndash; Familiarity with / desire to work with Adobe Analytics to analyse user behaviour.
AI Tools &ndash; Experience of tools like ChatGPT / Codex, Microsoft Copilot and Claude Code to accelerate but not replace analytical reasoning.
Familiarity with Snowflake, Tableau, Databricks or similar platforms is useful.
Stakeholder Influence
Ability to work effectively with Product Managers, UX Designers, Engineers and senior stakeholders. Answer strategic questions, advocate a data-driven culture and empower stakeholders to use data well. Challenge assumptions constructively to influence strategy and prioritise product roadmaps to deliver better outcomes.
Communication And Collaboration
Fluent in English, with strong presentation skills. Comfortable working in cross-functional and culturally diverse teams across different locations and time zones.
Growth Mindset
Enthusiasm for learning, curiosity about users and products, and a positive, humble attitude. You are not afraid to ask questions and are comfortable working with ambiguity.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 
<ul><li>
 
</li></ul>About Our Company
Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. Applying customer centricity, product and data best practices, and a passion for excellence, we deliver world-class customer solutions.
Primary Location Base Pay Range: NLD Amsterdam (Radarweg) &euro;40,400 - &euro;67,400. This role is covered by the Collective Labor Agreement Publishing Industry.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Shared Technology Product Analyst

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

RedCarpet®

<div>
 
 
 Jouw uitdaging
 
 
 
 Wil jij werken met de nieuwste technologie&euml;n binnen het Microsoft data-ecosysteem en bouwen aan schaalbare, toekomstbestendige dataplatformen? Als Senior Data Engineer speel je een sleutelrol in het ontwerpen en realiseren van moderne data-oplossingen.
 
 
 
 
 
 Je werkt aan complexe datavraagstukken binnen enterprise-omgevingen en helpt organisaties om volledig datagedreven te opereren. Van het bouwen van robuuste pipelines tot het neerzetten van complete lakehouse-architecturen: jij maakt het mogelijk.
 
 
 
 
 
 
 Onze partners &amp; sectoren
 
 
 
 Wij werken samen met een zorgvuldig opgebouwd netwerk van partners en opdrachtgevers binnen uiteenlopende sectoren. Hierdoor bieden wij dataprojecten die niet alleen technisch uitdagend zijn, maar ook inhoudelijk en maatschappelijk relevant.
 
 
 
 
 
 Onze partners zijn actief binnen onder andere de financi&euml;le dienstverlening, overheid en semi-overheid, energie, zorg, logistiek en bouw. Elke sector kent zijn eigen dynamiek en datavraagstukken, wat zorgt voor veel afwisseling en verdieping in je werk.
 
 
 
 
 
 Of je nu werkt aan schaalbare dataplatformen binnen finance, datagedreven oplossingen binnen de (semi-)overheid of innovatieve data-architecturen binnen energie of logistiek: jouw werk vormt de basis voor impactvolle inzichten.
 
 
 
 
 
 
 Wat ga je doen?
 
 
 
 &bull; Ontwerpen en implementeren van moderne data-architecturen (lakehouse, medallion)
 
 
 &bull; Bouwen en optimaliseren van data pipelines met Azure Data Factory en/of Microsoft Fabric
 
 
 &bull; Werken met Azure Synapse Analytics en/of Fabric Data Warehouse
 
 
 &bull; Inrichten en beheren van Azure Data Lake (Gen2)
 
 
 &bull; Integreren van databronnen via API&rsquo;s, streaming en batchprocessen
 
 
 &bull; Implementeren van CI/CD pipelines met Azure DevOps
 
 
 &bull; Toepassen van data modelling principes (bijv. dimensioneel modelleren, Data Vault)
 
 
 &bull; Optimaliseren van performance, kosten en schaalbaarheid
 
 
 &bull; Samenwerken met data scientists, analisten en stakeholders
 
 
 &bull; Adviseren over best practices, architectuur en datagovernance
 
 
 
 
 
 
 Wat breng je mee?
 
 
 
 &bull; Minimaal 5 jaar ervaring als Data Engineer
 
 
 &bull; Sterke ervaring binnen de Microsoft stack
 
 
 &bull; Ervaring met Azure Data Factory, Synapse Analytics en/of Microsoft Fabric
 
 
 &bull; Ervaring met Azure Data Lake en moderne data-architecturen
 
 
 &bull; Uitstekende kennis van SQL en Python
 
 
 &bull; Ervaring met Databricks (bij voorkeur binnen Azure)
 
 
 &bull; Kennis van Spark en distributed computing
 
 
 &bull; Ervaring met CI/CD en DevOps (Azure DevOps, Git)
 
 
 &bull; Kennis van data modelling technieken (Kimball, Data Vault)
 
 
 &bull; Ervaring met Power BI is een pr&eacute;
 
 
 &bull; Kennis van security, governance en data quality is een pr&eacute;
 
 
 &bull; Sterk probleemoplossend vermogen en communicatieve vaardigheden
 
 
 
 
 
 
 Wat krijg je ervoor terug?
 
 
 
 &bull; Werken met de nieuwste technologie&euml;n binnen de Microsoft data stack
 
 
 &bull; Projecten binnen complexe en datagedreven organisaties
 
 
 &bull; Veel ruimte voor eigen inbreng en technische keuzes
 
 
 &bull; Samenwerking met senior data professionals
 
 
 &bull; Marktconform salaris of aantrekkelijk zzp-tarief
 
 
 &bull; Flexibele werkvormen en hybride werken
 
 
 &bull; Volop mogelijkheden om jezelf verder te ontwikkelen en certificeringen te behalen
 
</div>

Data Engineer

SynTouch

<div>
 Bij SynTouch werk je als Data Engineer aan moderne dataoplossingen in de Azure-cloud. Je helpt organisaties om &eacute;cht datagedreven te worden &ndash; van het opzetten van data-platformen tot het bouwen van slimme, schaalbare data-pipelines.
 
 
 Samen met je team zorg je voor een stabiele, goed ingerichte data-architectuur. Je overziet het geheel, denkt mee met de klant &eacute;n implementeert de juiste Azure-tools &ndash; zoals Databricks, Data Factory of Logic Apps. Daarbij werk je graag samen met data scientists, engineers &eacute;n business stakeholders.
 
 
 Wat breng jij mee?
 
 
 Jouw enthousiasme voor data maakt het verschil. We zoeken iemand die:
 
 
 <ul>
 <li>
 Een afgeronde HBO- of WO-opleiding heeft in IT
 </li>
 <li>
 Ervaring heeft met SQL &eacute;n NoSQL databases
 </li>
 <li>
 Kennis heeft van data-concepten als Data Warehousing, Data Lakes, Data Mesh
 </li>
 <li>
 Bekend is met ETL/ELT, data-pipelines en event-driven architectuur
 </li>
 <li>
 Ervaring heeft met Azure services (zoals Databricks, Data Factory, Synapse, CosmosDB)
 </li>
 <li>
 Basiskennis heeft van analytics &eacute;n cloud
 </li>
 <li>
 Goed samenwerkt en initiatief toont
 </li>
 <li>
 This position requires fluency in Dutch
 
 
 </li>
 </ul>
 Klinkt dit als iets voor jou? Dan leren we je graag kennen.
</div>

Data Engineer Azure

LOGEX

<div>Our Mission
LOGEX is a leader in healthcare analytics, transforming complex data into actionable insights that help organizations make better decisions and improve outcomes.
You will be part of the internal Data Warehouse (DWH) team, a newly established team within LOGEX that will initially consist of around 5 team members. This team represents a new domain within the organization, focused on building and centralizing our internal data foundation.
The team is responsible for designing, developing, and maintaining the internal data warehouse and ensuring consistent, reliable, and scalable data across all business domains. This includes enabling reporting and analytics for functions such as Finance, Product and Tech, Sales, HR, and Customer Office.
Our goal is to create a single source of truth that supports LOGEX in making data-driven decisions. This ranges from financial and operational reporting to performance insights, forecasting, and strategic decision-making. By building a strong and future-proof data foundation, the team plays a key role in improving internal processes, increasing transparency, and supporting the continued growth of LOGEX.
As an Analytics Engineer, you play a key role in building and scaling our data platform. You design and maintain robust data pipelines, integrate data from multiple sources into our data warehouse, and develop reliable data models in Snowflake. You ensure that our data is accurate, accessible, and performs at a high standard, enabling business teams to make data-driven decisions.
You work closely with both technical and business stakeholders to understand how data supports processes and outcomes, translating these needs into scalable solutions. At the same time, you contribute to improving our overall data architecture and establishing best practices across the platform. With a strong passion for data, you focus on creating high-quality, future-proof solutions that drive real impact.
What you will do<ul><li>
Design and develop data models in Snowflake</li><li>
Transform and structure data into business-ready datasets</li><li>
Build and maintain data marts for reporting</li><li>
Ensure data consistency, quality, and governance</li><li>
Collaborate with Data Engineers and Data Analysts</li><li>
Support reporting and analytics in Power BI</li><li>
Translate business requirements into scalable data solutions</li></ul> 
Who we are looking for
Passion for data<ul><li>
You enjoy structuring and organizing data for analytics</li><li>
You can bridge the gap between technical and business teams</li></ul>
Experience<ul><li>
2&ndash;5+ years of experience in Analytics Engineering / BI / Data</li><li>
Strong SQL skills</li><li>
Experience with Snowflake</li><li>
Experience with Power BI</li><li>
Experience working with Excel for analysis and validation</li><li>
Experience with integration tools such as Workato is a plus</li></ul>
Mindset<ul><li>
You enjoy building something new and shaping how things are done</li><li>
You are communicative and work well with stakeholders</li><li>
You have a hands-on and entrepreneurial attitude</li></ul>
Why LOGEX?
Healthcare today is more tailored and more effective than ever before. However, with these improvements, come complexity. The burden of healthcare spending weighs heavily on economies, while the sheer number of options physicians and patients can choose from leads to uncertainty and unacceptable variations in clinical outcomes. At LOGEX, we have one superpower: data analysis. We choose to use this superpower to help address today&rsquo;s healthcare issues by turning data into better healthcare. Besides a purpose-driven workplace, we offer you:<ul><li>
An excellent compensation package (salary, holiday allowance, NS Business Card, phone and internet allowance)</li><li>
25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days</li><li>
An informal working environment with motivated colleagues</li><li>
The possibility to work in a hybrid setup</li><li>
A laptop and everything you need to set up a comfortable and ergonomic home office</li><li>
Personal and professional development opportunities through our LOGEX Academy</li><li>
Access to our mental health partner, OpenUp</li><li>
Regular after-work drinks and many more social events</li></ul>
Contact us!
You can apply via the button below and upload your CV. For more information, or in case you have any 
questions, you can contact Wesley Schreuder at Wesley.schreuder@logex.com
Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.</div>

Analytics Engineer

Explore 95+ Data analyst analytics engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.