Top Data Analyst Jobs in the Netherlands

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.

Lead data extraction, validation, and migration efforts using advanced SQL and Azure data services. Perform data mapping, reconciliation, quality assessments, and root-cause analysis. Collaborate with stakeholders, data engineers, and project teams to translate requirements, support SIT/UAT, optimize SQL scripts, and maintain technical documentation to ensure data integrity and compliance across migration lifecycles.

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

Maintain and improve master data quality for Blank Tags & Sets across systems (including SAP). Perform data validation, deduplication, fulfill business requests, support SAP code creation, prepare migration files, and support projects for data harmonization and governance.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Provide management with performance insights, translate MI needs into practical Power BI and SQL dashboards, manage data definitions and reports, support data scientists with data models, and act as the link between data and business insights.

Lead analysis translating business processes into data requirements, build cloud-based platforms and PowerBI dashboards, run SQL/Python/R analyses, form testable hypotheses, and mentor junior consultants while bridging business and technical stakeholders.

Partner with Customer Operations to design and own dashboards, define data requirements, perform deep-dive analyses, drive automation and continuous improvement, and communicate actionable insights to stakeholders to improve operational performance and growth.

Support data quality initiatives by cleansing, validating, reconciling, and standardising business data across CRM and enterprise systems. Analyse datasets to find trends and issues, prepare data for reporting and automation, document findings, and collaborate with stakeholders to improve data governance and processes.

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.

Work as the data SME in the ROCK Agile Release Train linking business, risk/compliance and IT. Gather requirements, assess data lineage/quality/management impacts, support product owners and scrum teams, prepare dashboards/reports, and enable continuous improvements for AML/CDD and transaction monitoring tooling.

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.

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

Analyze and improve customer data processes and tools, create logical data models, business glossary and data directory, define and monitor data policies and standards, advise stakeholders on data management and compliance (GDPR, DORA), drive change management and continuous data quality improvements across business units.

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.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

As a Senior Analyst in the Data & Analytics team, you will develop analytics solutions, engage in client discussions, and support projects across industries.

Interns will work with the Data & Analytics team on projects involving machine learning, data modeling, and analytics solutions, while developing their skills in a collaborative environment.

Lead end-to-end data analysis and data product delivery: shape data releases, perform SQL-based transformations, build Power BI dashboards, derive product and business insights, collaborate across data teams, and mentor junior analysts to improve operations and data quality.

Support data engineering, data management and data governance activities: help design and maintain data pipelines, ensure data quality and metadata management, enforce governance policies, collaborate with stakeholders to implement standards and compliance. (Job details to be added by recruitment.)

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 Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.