Top Data Analyst Jobs in the Netherlands

Support Amazon EMEA business performance through dashboards, reporting, data analysis, forecasting, and actionable insights. The role analyzes retail and advertising data, supports business reviews, ensures data quality, automates recurring reports, and translates business questions into recommendations. Collaboration spans Sales, Marketing, Merchandising, and Supply Chain teams, with a focus on improving reporting tools, data models, and analytics capabilities.

Own search quality metrics, analytics architecture, Python-based data pipelines, dashboards, and measurement tooling. Translate product and technical requirements into actionable metrics, investigate anomalies and regressions, improve measurement approaches, and collaborate with product managers, engineers, and stakeholders. The role requires search relevance or ranking analytics experience, statistical knowledge, strong analytical judgment, independent problem-solving, and effective communication.

Analyze and improve HR data quality across multiple countries in Workday. Investigate inconsistencies, identify root causes, define data standards, and propose actionable improvements. Build and support standardized HR reports, Power BI dashboards, and analyses for HR and business decision-making. Collaborate with HR stakeholders, the HR Business Process Owner, and technical teams to establish a reliable foundation for HR analytics.

Analyze demand planning performance, forecast accuracy, demand patterns, and business drivers. Develop dashboards, scorecards, reports, and monitoring solutions; validate data; conduct root cause analysis; support demand and business reviews; and provide actionable recommendations. Partner with planning, commercial, finance, supply planning, technology, and external stakeholders on transformation, process improvement, testing, governance, and adoption initiatives.

The job description provides company background but does not specify responsibilities, qualifications, technologies, compensation, location, travel, or clearance requirements for the Digital Product Data Analyst role.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Support the Supply Chain team by collecting, cleaning, and structuring semi-structured data from multiple sources. Build data pipelines, automate reporting workflows using SQL, Python, Excel Script, and Power Automate, define processes for manual inputs, and assist with report visualization projects. The role focuses on replacing error-prone manual reporting with sustainable, automated digital workflows.

The Finance & Data Analyst reconciles financial data across accounting, banking, and insurance carrier systems; writes SQL and Python for analysis and automation; builds dashboards and reporting tools; identifies anomalies and drives root-cause resolution; supports forecasting, budgeting, and cash-flow planning; and improves financial controls, data quality, and recurring finance workflows. The role partners with accounting, operations, engineers, and leadership in a multi-entity insurance scale-up.

Own complex analytics projects from business questions through delivery, developing reliable data products and solutions. Partner with product managers, analytics engineers, technologists, and senior stakeholders to shape data-driven strategy. Apply data preparation, blending, governance, and emerging AI techniques while coaching junior colleagues in analysis design, stakeholder engagement, and project management.

Own complex analytics projects from business questions through delivery, creating reliable data products and solutions. Partner with product managers, analytics engineers, technologists, and senior stakeholders to develop data models, semantic layers, and AI-enabled analytics. Apply governance, influence data-driven strategy, adopt emerging tools, and coach junior colleagues in analysis design, stakeholder engagement, and project management.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Senior Data Analyst partnering with product, commercial, and marketing teams to turn ambiguous business questions into actionable insights. Responsibilities include building KPI dashboards, analyzing large-scale datasets, measuring marketing impact and customer lifetime value, identifying conversion and monetization opportunities, and improving data quality and metric definitions. The role requires influencing stakeholders, communicating complex analyses, and working with SQL, Python, Databricks, and BI tools in a marketplace environment.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Drive enterprise data management and governance initiatives, gather and document requirements, support data quality, metadata, and master data management, and collaborate with business and technology teams on data solutions. The role requires stakeholder management, regulatory awareness, Agile delivery experience, and the ability to translate complex business needs into actionable data solutions.

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.

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.

Lead complex analytics projects, translate business questions into data-driven recommendations, and advise senior stakeholders on strategy and decision-making. Develop analyses, metrics, and reporting solutions while managing multiple priorities and collaborating cross-functionally. Serve as a subject matter expert, evaluate emerging analytics tools including AI-assisted techniques, and coach junior analysts.

Leads complex analytics projects, translating business questions into actionable insights and recommendations. Partners with senior stakeholders, develops metrics and reporting solutions, manages multiple priorities, collaborates cross-functionally, evaluates emerging analytics tools including AI-assisted techniques, and mentors junior analysts.

Translates business requirements into ServiceNow data and ITSM solutions, advises stakeholders on OOTB capabilities, and supports platform strategy, roadmap, governance, and adoption. The role analyzes processes and data structures across CMDB, APM, CSDM, Platform Analytics, and ITOM; facilitates workshops; collaborates with architects and developers; and identifies improvement opportunities, risks, and opportunities from new ServiceNow capabilities.

Supports enterprise data governance implementation, including governance frameworks, policies, data ownership, metadata management, business glossaries, data catalogs, lineage, impact analysis, and data quality practices. Collaborates with business and technical stakeholders across Azure, Microsoft Fabric, Azure Databricks, data lakes, warehouses, and analytics platforms. Requires strong SQL, data architecture understanding, GDPR knowledge, and preferably Dutch P&C insurance experience.

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.

Own and improve pricing and product master data across more than 100,000 products. Determine gross prices, monitor ERP data quality, identify duplicates and inconsistencies using automation and AI, and lead data improvement projects with Product Owners and IT. Serve as the pricing and product-data expert within purchasing while supporting international business decisions, profitability, inventory management, searchability, and customer experience.

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

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.