Top Data Analyst Jobs in the Netherlands

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.

Build, maintain, and improve central and cross-functional reports using Power BI, SQL, DAX, and data modeling. Investigate business data questions, create actionable visualizations, present insights, automate recurring reporting, and enable self-service analytics. Collaborate with stakeholders and Data Platform Engineers to ensure reliable data in Databricks, while improving report clarity, performance, usability, and data quality.

Analyze data and deliver insights to stakeholders, support dashboards and reports, maintain data quality and documentation, conduct exploratory analysis, track KPIs, assist with data modeling, and automate routine reporting tasks.

Build and improve Enfuce’s people-data foundation by cleaning, structuring, connecting, and governing data across systems. Develop trusted BI reporting, analyze engagement, retention, workforce efficiency, and headcount trends, and provide actionable recommendations. Define success measures and evaluate people initiatives. Partner with the People, Data & AI, Finance, and People Product teams to support AI-powered automations and products using reliable data.

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.

Analyzes complex datasets, creates and maintains user-focused dashboards, translates insights into actionable recommendations, and contributes to BI environment improvements and functional backend designs. The role requires SQL, database, BI-tool, and data-modeling experience, along with collaboration across departments and mentoring less experienced colleagues.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Supports data and analytics operations for Central European real estate portfolios by developing KPIs, reports, and performance analyses. Analyzes leasing, occupancy, financial, market, and portfolio data to identify commercial and operational opportunities. Provides reporting and data support to business leaders, contributes to budgeting, acquisitions, systems projects, testing, and process improvements, and serves as the regional AI subject matter expert. Collaborates with operational, asset management, marketing, digital, and IT teams.

Map new products using standardized specifications, origins, units, currencies, and frequencies. Check for duplicates and inconsistencies, identify data sources with the Data Research team, and hand mapped products to Product for implementation. Maintain accurate documentation throughout the project. The role requires structured, detail-oriented work, spreadsheet proficiency, clear English communication, and availability for 30–40 hours weekly for up to six months.

The Data Analyst will retrieve, clean, structure, validate, and analyze data to identify trends, risks, and growth opportunities. They will develop Power BI dashboards, reports, and analytical solutions; monitor business performance; maintain data and reporting processes; and translate findings into actionable recommendations. The role partners with business leaders and cross-functional Agile teams across Belgium and the Netherlands, requiring clear communication, stakeholder presentation, and weekly travel between countries.

Owns the end-to-end process from business questions to Power BI reports. Translates finance and real estate processes into functional and technical requirements, manages data mappings and backlogs, validates data with SQL, supports Microsoft Fabric lakehouse and semantic models, defines data quality controls, and leads user acceptance testing. Collaborates with finance, accounting, asset management, data engineering, and reporting teams while using AI tools to accelerate analysis, documentation, testing, and delivery.

Maintains and improves client data quality by managing customer records, performing data entry, validation, reconciliation, reporting, and issue remediation. Supports CIF and account lifecycle activities, responds to front-office data queries, documents procedures, and escalates discrepancies. The role requires strong attention to detail, Excel skills, clear communication, and the ability to manage repetitive tasks and multiple priorities in a financial services environment.

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.

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.

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.

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.

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.

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.