Top Data Analyst Jobs in the Netherlands

Lead collection, processing, and analysis of complex datasets to produce automated reports and dashboards. Perform statistical analysis, ensure data quality, translate business needs into data requirements, and collaborate with cross-functional teams to deliver insights supporting sustainability objectives.

The Senior Total Rewards Analyst will analyze pay equity, manage compensation benchmarking, and support pay reviews while using data insights to enhance transparency and consistency in pay decisions.

As a Data Analyst, you'll advise clients on data management strategies, implement solutions, and enhance data governance and quality. You'll also provide insights for business decisions based on analytical data evaluations.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

Own end-to-end analytics: build ETL/data models, define and track KPIs, deliver self-service reports, run ad-hoc and regular analyses, ensure data governance and quality, partner with FP&A/Accounting/Strategy, and coach junior BI team members.

This is a free 16 week training course for aspiring Data Analysts that leads to potential job placements, focusing on programming, data engineering, and cloud technologies.

The Digital Data Analyst ensures accurate data tracking, analyzes performance across digital channels, and reports insights to drive marketing decisions.

Ensure product master data accuracy and completeness across PLM, SAP FMS, and PIM. Monitor data quality, perform root-cause analysis, prepare data for sell-in readiness, build dashboards, collaborate with Product/Planning/IT, and drive process improvements, automation, governance, and stakeholder training.

Collect, clean, and analyze procurement data to drive sourcing strategies, supplier performance, and process improvements. Build and maintain Power BI dashboards and reports, lead data cleansing and classification, support sourcing events (RFx), execute MRP processes in SAP APO/ECC, prepare forecasts, and collaborate with cross-regional procurement and category teams to align POs and resolve supply issues.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

The Data Analyst intern will support the supply chain team by automating data workflows, cleaning data, and enhancing reporting processes.

Manage, maintain and analyse master data in the ERP landscape (IFS Applications focus). Process and communicate status of data requests, create/modify/delete master data, ensure data accuracy and consistency, perform reporting and analyses, resolve data quality issues, and support stakeholders across international locations.

The FP&A Data Analyst will enhance financial reporting, automate processes, bridge data across systems, and develop insightful dashboards while collaborating with finance and engineering teams.

The role involves managing pricing data, producing reports on pricing performance, and building reporting tools for commercial stakeholders. Responsibilities include ensuring data quality and supporting predictive modeling efforts.

As a Data Analyst, you will develop data strategies, enhance data governance, implement data quality processes, and provide data-related insights to clients.

Work with Product and Insurance teams to define KPIs, analyze A/B tests, build and maintain real-time dashboards, contribute to dbt-based data pipelines, and provide data-driven recommendations to influence product roadmap and outcomes.

Develop data-as-a-product solutions and Power BI reports, engage stakeholders to gather requirements, build scalable self-service dashboards, ensure data quality and ethical sharing, train users, and support reporting rollouts for supply-chain and sustainability insights.

Design and run quantitative research, integrate survey, CRM, digital and revenue data, perform advanced statistical analyses and segmentation, build dashboards, and translate insights into actionable recommendations for stakeholders.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

The Commercial Data Scientist will analyze data to identify commercial opportunities, support marketing and supply teams, and shape Catawiki's commercial strategy through advanced analytics and insights.

Lead end-to-end analysis and implementation of assortment lifecycle processes: map current/future states, define requirements, run stakeholder workshops, support data/model/tooling implementation, and coordinate UAT and issue resolution to improve assortment decisions across channels and regions.