Top Data Analyst Jobs in Amsterdam

Support finance master data governance and SAP S/4HANA transformation by managing MDG change requests, reconciling datasets, coordinating data cleansing, advising on accounting and controls, and driving stewardship process improvements to ensure accurate financial reporting and scalable operations.

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

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.

Turn internal and external market and competitor data into actionable insights to inform marketplace strategy. Build benchmarks, forecasts, dashboards and recurring reports, engage vendors and stakeholders, support strategic projects, define data requirements, investigate data discrepancies, and automate reporting workflows to measure and improve Vinted’s competitive position and market performance.

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.

Work with clients to build data-driven solutions: clean and model large datasets, apply ML/Deep Learning/Generative and Agentic AI, develop POCs, deploy production-ready models on cloud platforms, and translate analytics into business recommendations while facilitating workshops and stakeholder engagement.

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.

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.

Lead analytics and evaluation for search and retrieval systems: define metrics, analyze query and user interaction data, run A/B experiments, build dashboards and reusable analysis workflows, ensure data quality on large-scale platforms (Databricks/Spark/SQL/Python), and partner with product, data science, and engineering to improve ranking and retrieval performance.

Lead end-to-end analytics projects for hardware infrastructure automation: design data models and pipelines, build dashboards, analyse large-scale telemetry, quantify automation impact, and present actionable recommendations to engineering stakeholders. Ensure data quality, documentation, and mentor colleagues to improve team standards.

Design, build, and maintain Power BI dashboards and automated SCM reports. Collect requirements, integrate cloud data (SharePoint/Snowflake), ensure data quality and governance, define and track SCM KPIs, automate reporting, support audits, train users, and provide insights to improve procurement, logistics, inventory, and supplier performance.

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.

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 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.

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.