Top Data Analyst Jobs in Amsterdam

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.

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.

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.

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.

Build and maintain reliable supply-chain data pipelines and models, develop KPI dashboards and reporting, enable data-driven decision-making, collaborate with supply chain team, and implement ETL/BI solutions and observability/orchestration tools.

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.

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.

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.

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.

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.

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.

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.

Work on client-facing analytics projects: design solutions, build prototypes, implement ML/NLP models (e.g., PD models, decarbonization, churn, GenAI chatbots), validate results, and communicate findings to clients and colleagues across industries.

2–4 month internship within Oliver Wyman's Data & Analytics team. Work on analytics and ML projects (NLP, GenAI, credit risk, decarbonization, supply-chain risk), build prototypes, collaborate with clients and colleagues, and present insights. Gain mentorship and international exposure.

Lead and support credit risk data governance initiatives: manage metadata, catalogs, and business glossaries; monitor and remediate data quality; analyze SQL datasets and data warehouses; document standards; coordinate stakeholders; and lead small teams to deliver governance solutions within banking/financial services.

Owner of analytics and data pipelines: deliver proactive analysis, build and maintain dbt models, ensure pipeline health, troubleshoot data quality, and present clear insights to leadership to drive growth, finance, and product decisions.

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.

Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.

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.

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

Own supply-side analytics: define and monitor partner KPIs, build self-serve dashboards and LLM-powered tools, run experiments and A/B tests, create business cases for commercial decisions, support provider integrations, and raise analytics standards across the team.