Top Data Analyst Jobs in Amsterdam

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 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.

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.

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 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.

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.

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.

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.

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.

Lead end-to-end analytics for Operations and Energy teams: build reliable data foundations, improve pipelines and models, craft dashboards and automation, drive data-driven decisions, and present insights to stakeholders to improve customer experience and operational performance.

Lead financial data automation and insights for Finance, Risk, and Payments. Build data products, dashboards, reports and analytics agents, improve pipelines and models, present findings, and drive process changes to enable scalable, actionable financial reporting and decision-making.

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.

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.

The Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

The Senior Data Analyst will build a data-driven foundation in Capacity Management, focusing on metrics, forecasting, and driving decisions on infrastructure and resource allocation.

Perform hands-on data analysis and support EMEA commercial and sales teams. Build and maintain Power BI dashboards and reports, optimize SQL queries, support data modeling and ELT processes, manage Power Automate workflows, ensure reporting accuracy, handle ad-hoc requests, and collaborate with senior analysts while contributing to process improvements and learning.