100 Vacatures voor Product Data in de Nederland
Senior Product Data Analyst
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About the Team
Join our Product Analytics team within Research Products, where we transform data into actionable insights to improve digital products. We value curiosity, collaboration, and a passion for making data-driven decisions. Our team uses tools like SQL, Python/R, Tableau, and Adobe Analytics to uncover opportunities and drive product improvements.
About the Role
In this role, you will lead the Product Analytics scope on one or more of our fast-growing, innovative, world-leading products such as ScienceDirect, the world's biggest scientific publishing platform. You will be part of a large analytics team (30+ analysts) located in London and Amsterdam, working with product teams and other stakeholders across US, UK and the Netherlands.
Responsibilities:
+ Define metrics that reflect user success and satisfaction, working closely with stakeholders.
+ Build dashboards and reports to track product performance and user engagement.
+ Use data analysis and experimentation (including A/B testing) to identify and validate opportunities for improvement.
+ Support strategic decisions by combining data from various sources to answer key business questions.
+ Communicate insights clearly and advocate for a data-driven culture across the organization.
Requirements:
+ Growth mindset: Enthusiasm for learning and adapting.
+ Experience in data analysis, collaborating with stakeholders, and driving projects to completion.
+ Proficiency with SQL and a strong understanding of data-driven problem solving.
+ Effective communicator, fluent in English, with experience presenting findings to varied audiences.
+ Ability to work inclusively with colleagues from different backgrounds and perspectives.
+ Experience in product analytics, digital product optimization, A/B testing, and web analytics.
+ Familiarity with tools such as Excel, PowerPoint, Python/R, cloud data warehouses (e.g., Amazon Redshift), and analytics platforms (e.g., Databricks, Tableau).
+ Experience working in cross-cultural and cross-functional teams.
Work in a way that works for you:
We promote a healthy work/life balance across the organisation. 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.
Working for you:
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Dutch Share Purchase Plan
- Annual Profit Share Bonus
- Comprehensive Pension Plan
- Home, office or commuting allowance
- Generous vacation entitlement and option for sabbatical leave
- Maternity, Paternity, Adoption and Family Care leave
- Flexible working hours
- Personal Choice budget
- Variety of online training courses and career roadshows
- Wellbeing programs and gym facility in the office
- Internal communities and networks
- Various employee discounts
- Recruitment introduction reward
- Work from anywhere
-Employee Assistance Program (global)
-Annual Event
About the Business:
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. What you do every day will help advance science and healthcare to advance human progress.
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 .
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 .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.
Product Data Owner
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Als Product Data Owner ben jij verantwoordelijk voor de kwaliteit en vindbaarheid van alle productinformatie. Je zorgt ervoor dat onze klanten altijd de juiste, complete en commerciële productdata vinden, zodat ons assortiment optimaal wordt gepresenteerd en beter presteert in zoekmachines.
- Zorgen dat productinformatie volledig, correct en commercieel aantrekkelijk is.
- Beheren en prioriteren van de backlog met dataverbeteringen, uitbreidingen en content.
- Inrichten en verbeteren van processen voor datakwaliteit, validatie en verrijking.
- Nauw samenwerken met marketing en inkoop om data en campagnes op elkaar af te stemmen.
- Bewaken dat alle data voldoet aan wetgeving en datastandaarden.
- Optimaliseren van productdata voor SEO, vindbaarheid en conversie.
- Analyseren van resultaten en rapporteren over KPI's zoals datacompleetheid, foutpercentages en zoekprestaties.
- Een uitstekend salaris.
- Aantrekkelijke pensioenregeling (wij betalen 75% van de premie)
- Mogelijkheden tot reiskostenvergoeding of zelfs een auto van de zaak.
- Mogelijkheid tot thuiswerken.
- De mogelijkheid tot het bestellen van een gezonde lunch en gratis fruit.
- Elke vier weken een massage.
- Centrale locatie, binnen 30 minuten van Amsterdam (A2) en Utrecht (A27).
- Een gezellige werkomgeving met de leukste collega's.
- Een afgeronde mbo- of hbo-opleiding, bijvoorbeeld in bedrijfskunde, marketing, informatiemanagement of data.
- Ervaring met PIM-systemen en/of e-commerceplatforms.
- Uitgebreide kennis van Excel en gevoel voor data-analyse.
- Affiniteit met productinformatie en het beheren van grote productassortimenten.
- Analytisch, nauwkeurig en procesmatig ingesteld.
- Sterke communicatieve vaardigheden en het vermogen om met verschillende teams samen te werken.
Product Data Specialist
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Wil jij bouwen aan slimme productdata in een dynamisch e-commerce landschap? Heb jij oog voor structuur, kwaliteit en procesoptimalisatie? Dan zijn wij op zoek naar jou
Als Product Data Specialist ben je verantwoordelijk voor het optimaal functioneren van ons PIM-systeem (Akeneo) en de bijbehorende datastromen. Je speelt een sleutelrol in de kwaliteit en volledigheid van onze productdata richting webshop, klanten en datapools. Je werkt op het snijvlak van ICT, marketing en commercie en bouwt mee aan een toekomstbestendig datalandschap.
Wat ga je doen?
- Optimaliseren van de integratie tussen PIM Akeneo, Magento en Microsoft Business Central
- Bewaken en verbeteren van datastructuren, classificatie en producthiërarchie
- Ontwikkelen en beheren van datamodellen voor bestaande en nieuwe productgroepen
- Opzetten van rules, data query's en workflows binnen Akeneo
- Verzamelen, controleren en verrijken van productdata vanuit diverse bronnen
- Koppelen van content zoals afbeeldingen, montagehandleidingen en video's
- Samenstellen van prijslijsten en assortimentsoverzichten vanuit Akeneo
- Exporteren van data naar klanten, datapools (zoals GS1) en externe platformen
- Signaleren van knelpunten en aanbrengen van verbeteringen in productdataprocessen
- Bepalen van de PIM roadmap in samenwerking met collega's
- Adviseren en ondersteunen van interne collega's in het gebruik van Akeneo
- Beantwoorden van vragen van klanten, collega's en partners over productdata
Wat breng jij mee?
- HBO werk- en denkniveau
- Affiniteit met productdata en datastructuren
- Ervaring met Excel en (product)dataverwerking
- Analytisch en probleemoplossend vermogen
- Nauwkeurige, georganiseerde en gestructureerde werkstijl
- Kennis van PIM-systemen (bij voorkeur Akeneo) is een pré
- Ervaring met ERP-systemen (bij voorkeur Business Central/Navision) is een pré
- Bekendheid met standaarden als ETIM of datapools zoals GS1 is een pluspunt
- Goede beheersing van de Nederlandse en Engelse taal
Competenties
- Resultaatgericht en kwaliteitsbewust
- Verantwoordelijk, zelfstandig en zelfredzaam
- Klantgericht en servicegericht
- Communicatief sterk
Wat bieden wij jou?
- Salarisindicatie: € 3.400 – € 4.850 bruto per maand (afhankelijk van opleiding en ervaring)
- Laptop en telefoon van de zaak
- Goede pensioenregeling (50/50 premie)
- Ruimte voor persoonlijke ontwikkeling en externe opleidingen
- Een verantwoordelijke functie met veel eigen inbreng
- Een ambitieus team in een sterk groeiend familiebedrijf
Over Dekker Hout
Dekker Hout is al sinds 1885 dé specialist in hout. Vanuit onze hoofdvestiging in Den Haag en onze productie- en distributielocatie in Vianen leveren wij duurzaam geproduceerd hout en houtproducten aan bouwbedrijven, industrie en retail. Wij zijn een familiebedrijf met vakmensen: gedreven, deskundig en toekomstgericht. Innovatie en digitalisering zijn bij ons geen bijzaak, maar een speerpunt.
Interesse?
Wil jij bijdragen aan het commerciële succes van Dekker Hout? Neem contact op met:
Timon Craane
via
of bel
.
Staff Product Data Analyst – Self-Service Analytics
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About the role
We are looking for a
Staff
Product Data Analyst
to build and drive the analytical infrastructure of our Self-Service Data Strategy. Your work will directly enable product, marketing, and operational teams to confidently use data on their own, by helping us understand self-service adoption, identify opportunities to improve our data products, and support a growing data-literate culture at Superbet.
You will work closely with the Data Products organisation. This is not just about dashboards — it's about
designing for our internal users a data experience
that's findable, accessible, and trusted by default.
What you'll be doing
- Understand self-service adoption and success
- Define and track self-service usage metrics: time-to-insight, active users, tool penetration, usage by persona, engagement patterns, retention, stickiness.
- Build analytics around the data platform: what's used vs. not, by whom, how often, and why.
- Measure platform and tooling performance across data products: Acryl, Tableau, FullStory, Snowflake.
- Analyse qualitative feedback and user satisfaction data to inform roadmap priorities.
- Inform What to Build Next
- Partner with the Self-Service Data Product Manager to identify product opportunities using real usage data and common friction points.
- Build derived metrics on top of our metadata (e.g. KPI coverage across dashboards, data quality scores, documentation completeness).
- Segment users to highlight patterns in behaviour, gaps in enablement, and potential gamification levers.
- Enable change and champion adoption
- Create and maintain analytics for self-service training programs, certifications, and onboarding journeys.
- Build compelling narratives to inform stakeholders and promote data tools through internal storytelling.
- Act as a subject-matter expert for KPIs, Acryl (data catalog), and Data Quality frameworks—supporting enablement with content and data.
- Build Internal Reporting
- Develop MVP dashboards for internal data product performance monitoring.
- Contribute to establishing the analytics foundation for a scalable self-service ecosystem.
We're looking for someone who has:
- 5+ years in a data analysis or insights role, ideally with a product or enablement focus.
- Demonstrated impact via internal product analytics or platform usage analysis.
- Strong SQL skills, with comfort navigating raw and modelled layers.
- Experience visualising data and building compelling stories via dashboards
- Strong communication skills — you can go from deep data work to actionable, business-friendly storytelling.
- Ability to influence stakeholders at various levels in changing behaviours/ways of working through formal and informal means
Bonus points for:
- Experience working on data platform analytics, internal data products, or enablement programs.
- Hands-on experience with data catalog or metadata tools (e.g., Acryl, Collibra, Alation).
- Understanding of self-service analytics tools like FullStory, Amplitude, etc
- Familiarity with internal tooling usage analytics or instrumentation of platform adoption.
- Experience building training content or running enablement sessions.
Why this role matters
You'll play a critical role in making Superbet a truly data-driven company — not by producing all the insights yourself, but by making it easier for
everyone else
to do so confidently and independently.
Data Analysis
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The Installed Base & Costs Systems team within Customer Support focuses on improving the efficiency and transparency of service costs for EUV systems. Acting as the interface between the technical and financial domains, the team supports cost managers by generating reports and aligning targets with business lines. However, a significant amount of time is currently spent on manually transforming raw data into actionable insights. To address this, we are looking for an intern to help automate and streamline our cost reporting processes.
Your assignmentYou will work on two key assignments:
- Automate the monthly cost analysis process (currently Excel-based) using existing work instructions.
- Develop a tool to answer ad-hoc business questions directly from the unified dashboard (e.g., labor hours per customer).
- Reduce manual workload and improve data accessibility for the team.
- Focus initially on labor cost reporting, with potential to scale to other cost pillars and regions.
- Collaborate with global stakeholders and receive guidance from the team.
To be a fit for this assignment, you:
- Are studying Industrial Engineering, Business Analytics, Data Science, Finance, Economics, or a related field.
- Have affinity with Excel (macros), Spotfire, or Python (basic scripting is sufficient).
- Are analytical and enjoy solving data-related challenges.
- Have a proactive attitude and can work independently.
- Communicate effectively in English, both written and verbally.
This is a bachelor's or master's internship for minimum 5 months, minimum 4 days per week (2 to 3 days on-site). The start date of this internship is as of February 2026.
Other requirements you need to meet:
- You are enrolled at an educational institute for the entire duration of the internship.
- You need to be located in the Netherlands to be able to perform your internship. In case you're currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate.
- If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement).
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
Inclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Product Feed Data Engineer

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We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That's the Power of Us, that's the Power of PVH+.
One of PVH's greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH **here ( .
**The Team**
The Digital Consumer Operations team is responsible for enabling best-in-class digital experiences across all DTC channels for Tommy Hilfiger and Calvin Klein. Within this team, the Consumer Analytics subteam delivers data-driven tools and capabilities that empower decision-making and optimize performance across media, eCommerce, and marketing. By integrating insights, automation, and scalable infrastructure, the team enhances consumer engagement and supports commercial growth in a fast-paced, omnichannel environment.
**The Position**
As Product Feed Data Engineer, you will play a key role in managing and optimizing the product data infrastructure that powers performance marketing, on-site personalization, and retail media across PVH EMEA's digital ecosystem. You will be responsible for building and maintaining scalable data pipelines and product feeds that connect with external platforms (e.g., Google Shopping, Meta, Amazon, Zalando), ensuring data accuracy, timeliness, and business alignment. Reporting to the Senior Manager eCommerce and Media Infrastructure, you will work cross-functionally with product management, media, eCommerce, marketing and IT teams to support innovation and efficiency across digital commerce channels.
**Key Responsibilities:**
+ Design, develop, and maintain automated data pipelines and product feeds for digital commerce and media platforms.
+ Ensure feed accuracy, completeness, and alignment with each platform's requirements (e.g., Google, Meta, Amazon, Zalando).
+ Collaborate with product, media, and marketing teams to translate business needs into scalable data feed solutions.
+ Monitor performance, troubleshoot feed errors, and implement optimizations to maximize data integrity and campaign efficiency.
+ Partner with IT, Product Launch and analytics teams to integrate data from multiple internal and external sources.
+ Support testing and implementation of new tools, APIs, or platforms related to product feeds and eCommerce infrastructure.
+ Document technical processes and maintain version control for feed configurations and data models.
+ Maintain the data pipelines into Channable
+ Stay current on feed specifications, channel updates, and industry best practices to ensure compliance and performance.
Note: Responsibilities include, but are not limited to, those listed above. The role may require additional tasks and duties as assigned to meet the needs of the department and organization.
**Measures of Success**
+ High accuracy and uptime of product feeds across all connected channels.
+ Improved feed-based performance KPIs (e.g., CTR, ROAS, conversion) across marketing platforms.
+ Reduction in feed-related errors or data inconsistencies over time.
+ Timely deployment of new feeds or updates in line with campaign or platform deadlines.
+ Positive feedback from internal teams on feed quality, stability, and documentation.
**Ideal Candidate**
+ Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
+ 2-4 years of experience in data engineering, data integration, or feed management roles, preferably in eCommerce or digital marketing within a (premium) fashion environment.
+ Proficiency in SQL and experience working with data transformation tools and scripting (e.g., Python, Google Apps Script).
+ Experience with feed management platforms (e.g., Productsup, Channable, Feedonomics) is a strong advantage.
+ Familiarity with digital marketing platforms and feed specs (Google Merchant Center, Meta Catalog, Amazon Advertising, etc.).
+ Understanding of API integrations and data transfer protocols (e.g., JSON, XML, FTP).
+ Experience managing structured product catalogs and eCommerce-related data.
+ Detail-oriented with a strong focus on data accuracy and quality assurance.
+ Ability to translate business requirements into scalable data solutions.
+ Strong problem-solving and troubleshooting skills.
+ Familiarity with cloud-based data environments (e.g., GCP, BigQuery) is a plus.
+ Excellent documentation and communication skills.
+ Collaborative mindset with the ability to work cross-functionally with tech and non-tech stakeholders.
+ Ability to manage multiple priorities in a fast-paced digital environment.
+ Fluent in English; additional languages are a plus.
**Behaviors**
At PVH, how we act is as important as what we do. Here are some key behaviors we expect from our people:
ENTERPRISE FIRST - we act in the best interests of PVH and its consumers beyond our own team, brand, region or market.
DRIVE CHANGE - we lead by example and are optimistic about change. We challenge the status quo but fully commit once a decision is made.
CREATE CLARITY - we are diligent in providing context and setting our priorities so we can be productive quickly.
INSPIRE TRUST - we create safe spaces for debate and deliver on what we promise so people can learn to depend on us.
TAKE ACCOUNTABILITY - we focus on work with the biggest business impact and give candid feedback to each other.
**Your Wellbeing is Our Priority**
In the heart of Amsterdam, PVH is home to the global headquarters of Tommy Hilfiger and the European offices of Calvin Klein.
+ **Wellbeing:** exclusive onsite gym and fitness classes, personal training, meditation studio, sports clubs, in-house physio, and receive access to our nutritional and wellbeing programs
+ **Campus:** extensive food and beverage offerings, top-notch restaurant, barista coffee bars, sky bar, monthly social events, weekly Thursday drinks, game nights, and campus-themed activities that will keep your social life busy
+ **Develop your career:** whether you lead a team or contribute your own expertise, everyone is a leader at PVH. PVH University curates and delivers training programs for you to continuously develop your professional and personal goals
+ **Be at the forefront:** stay closely connected to our brands, CALVIN KLEIN and TOMMY HILFIGER, and be a part of seasonal market launches, sample sales and receive employee discounts!
Check out our Amsterdam Campus here. ( Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential._
DIVERSITY & EQUAL OPPORTUNITY We are committed to recruiting, training and providing career advancement to all associates regardless of gender, race, religion, age, disability, sexual orientation, nationality, or social or ethnic origin. Diversity in the workplace is encouraged. Bigotry, racism and any form of harassment or discrimination is not tolerated.
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