(Senior) Data Analyst / Scientist

Your BenefitsCorporate Benefits: Enjoy a competitive benefits package that includes options such as an electric lease car or a mobility budget, along with a laptop and mobile phone. You will also receive a work-from-home budget, 25 vacation days with the option to purchase an additional 5 days, and pension contributions.Flexible Working: We understand that y…

Welcome to Adyen Adyen is a leading financial technology platform that provides comprehensive payment, data, and financial solutions to high-profile clients including Meta, Uber, H&M, and Microsoft. We are committed to engineering success and empowering our team members to achieve their professional ambitions. We cultivate a dynamic environment that fosters growth, collaboration, and innovation. Our motivated teams work together to tackle complex technical challenges and deliver cutting-edge, ethical solutions that help businesses reach their goals more efficiently. About the Role We are on the lookout for a seasoned Data Scientist to join our Experimentation Platform team in Amsterdam. In this role, you will leverage your extensive knowledge of statistical hypothesis testing, experimental design, and quantitative research methodologies to enhance the scope of experimentation at Adyen. Your expertise will contribute to implementing advanced statistical approaches that drive experimentation at an unparalleled scale. Your Responsibilities Research and implement state-of-the-art statistical methods to deliver robust signals across diverse business contexts, optimizing for timeliness and experimental quality. Deepen your understanding of Adyen’s unique domain to prioritize methodologies that maximize business value. Stay current with the latest advancements in statistical hypothesis testing. Collaborate with a multidisciplinary team of backend, frontend, and data engineers to define requirements for new platform features, ensuring proper integration of statistical methods. Work alongside data scientists across Adyen to explore innovative applications of statistical and data science techniques to solve challenging problems. Engage with platform users to provide support and promote a culture of experimentation and data-driven product development.

About Creative FabricaCreative Fabrica is an innovative subscription platform that empowers millions of creators, designers, and crafters globally. We believe creativity should be accessible to all, breaking down barriers such as costly software, technical know-how, and time-consuming production processes.Our Studio AI suite boasts over 26 specialized AI tools that streamline technical tasks, enabling you to generate bespoke images, eliminate backgrounds, design fonts, and create publication-ready materials in mere minutes.With a content library featuring over 15 million commercially licensed fonts, graphics, SVGs, and templates, we provide high-quality resources without the hassle and expense of developing assets from scratch.About the Role:As a rapidly expanding company, data is integral to our operations—from deciphering how customers find us to determining which new features to implement. We seek a Data Analyst who goes beyond merely constructing dashboards and probes deeper: Why are users engaging in certain behaviors, and what actions should we take in response?You will bridge the gap between engineering and business strategy—trusted by leadership for delivering accurate data and clear narratives, while also ensuring the team has smooth operational pipelines. This is a unique opportunity for an analyst eager to contribute to building a thriving data ecosystem. If this aligns with your aspirations, we’d love to connect!What You Will Do:Enhance business performance through proactive data analysis, insightful reporting, and strategic recommendations that resonate with leadership.Manage and refine our data pipelines, guaranteeing data is current, precise, and reliable when it counts.Develop and sustain dbt models that fulfill ongoing business requirements across Growth, Finance, and Product teams.Act as the storyteller in the room, translating complex findings into clear narratives that drive decision-making.Monitor pipeline health, proactively addressing issues, and advocating for continuous data quality improvements.

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth driven by our exceptional product and technology teams, fostering an unparalleled user experience for travelers worldwide.As a Data Scientist specializing in experimentation, you will be an integral part of our Growth & Marketing department. Collaborating closely with the Head of Growth, you will spearhead our experimentation practices and analyses, working alongside product managers, marketing teams, designers, and engineers. Your efforts will empower Polarsteps to make informed, data-driven decisions at scale.With over 20 million users and outstanding app store ratings of 4.8 and 4.7, along with features in several Google and Apple showcases, our journey thus far has been impressive. However, we are even more enthusiastic about the future, and you will play a pivotal role in steering Polarsteps toward reaching over 100 million users globally.Your Daily ResponsibilitiesHere’s what your day-to-day at Polarsteps will entail.Collaborate with product, growth, and marketing teams to convert business inquiries into meticulously designed experiments with clear success metrics.Design, execute, and analyze experiments within product and marketing domains to facilitate data-informed decisions at scale for Polarsteps.Enhance our experimentation methodologies by introducing advanced techniques (such as SPRT and stratified sampling) to accelerate learning and increase confidence in our deployments.Develop and sustain the statistical frameworks and tools that underpin our experimentation processes, including sample size calculators and automated analysis pipelines.Communicate experiment results and strategic insights to senior stakeholders, transforming statistical data into actionable recommendations.Your Skill SetWe are looking for candidates with the following qualifications. At least 5 years of relevant experience in data science and experimentation. Proven experience working with B2C native mobile applications. Proficiency in SQL, familiarity with Python, and knowledge of cloud data environments (like AWS, Clickhouse, etc.). Practical experience in developing and scaling experimentation practices, collaborating with product managers or marketing teams.

Are you a seasoned Data Analyst with a strong technical background and a passion for driving impactful decisions? Join us in enhancing the analytical framework that empowers our entire organization to make informed commercial and product choices.At Vio, we are dedicated to securing the best accommodation deals for travelers around the globe. Central to this mission is our Offers Management Platform, a sophisticated system that determines which accommodation offers to request, store, and distribute across various channels and markets.We are seeking a Senior Data Analyst to take charge of the analytics for this platform, collaborating closely with product managers and engineers to drive its evolution and optimization. This position focuses on understanding the system comprehensively—from end to end—establishing robust experimentation and measurement frameworks, and utilizing causal inference to steer our strategic decisions.About the RoleYou will be part of a cross-functional team overseeing the Offers Management Platform, which lies at the core of our marketplace. This system dictates which offers are requested from our suppliers, stored in our cache, and presented to end users or B2B partners, significantly influencing revenue and partner performance across the organization.Your objective will be to render this system measurable and to enhance its performance.You will engage closely with backend engineers and product managers on system design choices, establish metrics for success, and create analytical frameworks that allow us to analyze cause and effect in a highly interconnected environment.Your ResponsibilitiesLead Analytics for the Offers Management PlatformCultivate an in-depth understanding of the processes through which offers are requested, stored, and distributed.Translate intricate system behaviors into clear metrics and models.Serve as the analytical authority for inquiries regarding the performance of the offers system.Experimentation & Causal InferenceDesign and implement experimentation strategies for system-level alterations where classic A/B testing is not applicable.Employ causal inference techniques (e.g., difference-in-differences, propensity score matching) to assess the impact of changes.

Create meaningful change. Embrace humanity. Keep exploring.About UsAt Rewire, we are at the forefront of the AI revolution, harnessing the power of data to drive transformative solutions. As the volume of data expands exponentially, the demand for intelligent, impact-driven professionals is at an all-time high. We don't merely follow trends in Data and AI; we actively shape them.If you thrive on addressing real-world challenges and delivering tangible results, this opportunity is tailor-made for you! Your innovative mindset and expertise will empower you to significantly influence Rewire's trajectory, utilizing data and AI to craft pioneering solutions.We are on a bold mission to exponentially grow Rewire's business, and we need a Data Scientist to help us achieve our ambitions. You will have the unique opportunity to engage in impactful data and AI projects, collaborate intimately with clients, and facilitate significant outcomes for our esteemed clientele. Your role will be dynamic! You will support the everyday execution of transformation projects, while simultaneously enhancing your own skills and contributing to Rewire's thought leadership within the industry.Join a vibrant team of data and AI experts who tackle substantial challenges, create intelligent solutions, and enjoy the journey together. Ready to embark on this adventure?Your ContributionsAdvance data and AI initiatives – analyze datasets, construct models, and deliver insights that foster genuine business impact.Utilize state-of-the-art machine learning methods – address intricate, real-world issues with creative solutions.Create algorithmic solutions – take charge of your projects and help revolutionize critical business processes.Facilitate organizational transformation – implement data and AI innovations backed by our GAIN® certified education and training portfolio.Leverage your technical skills and communication abilities – develop scalable data and AI solutions that generate value throughout the organization.Team up with cross-functional teams from both the client and Rewire – make contributions from day one while gaining insights from seasoned leaders.Why Choose Us?Be part of groundbreaking innovation in the data and AI landscape.

Why Join Nebius?At Nebius, we are pioneering the next generation of cloud computing to meet the demands of the global AI economy. We provide our clients with innovative tools and resources that empower them to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and the need for extensive in-house AI/ML teams. Our team operates at the forefront of AI cloud infrastructure, collaborating with some of the industry's most talented leaders and engineers.Work EnvironmentWith our headquarters in Amsterdam and a listing on Nasdaq, Nebius boasts a global presence with research and development hubs across Europe, North America, and Israel. Our workforce of over 1,400 includes more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, complemented by an in-house AI research and development team.The RoleWe are seeking a Senior Data Analyst to serve as the inaugural analytics hire in our Capacity Management team, establishing a data-driven foundation for infrastructure planning and operations.Currently, many critical decisions are based on expert judgment. Your goal will be to transform this process by introducing clear metrics, dependable observability, and predictive models that will inform decisions across engineering, product, and business domains.You will collaborate closely with the Head of Capacity Management and operate with significant autonomy within the capacity management domain.What You Will DoEnhance Capacity ObservabilityDefine and take ownership of crucial metrics related to availability, utilization, and capacity health.Create dashboards that accurately reflect the system's true state rather than a simplified view.Transition from manual and fragmented reporting to reliable, scalable solutions that provide insights in real-time.

Join dev2, a leading content agency, as a Senior Data Analyst. In this role, you will leverage your analytical skills to drive data-driven decisions that enhance our marketing strategies and content performance.

everience is hiring a Data Scientist in Amsterdam. This position focuses on using data to support new ideas and improve services across the company. Role overview The Data Scientist will work on projects involving data analysis, machine learning, and statistical modeling. Collaboration with the engineering team is a key part of the job, with an emphasis on developing practical, data-driven solutions for real-world problems. What you will do Analyze data to uncover trends and insights Apply machine learning techniques to solve business challenges Build and refine statistical models Work closely with engineers to deliver solutions that make a difference Requirements Motivation to work with data and drive innovation Experience or interest in data analysis, machine learning, and statistical modeling Strong collaboration skills, especially when working with engineering teams

Your Journey at Polarsteps - Data ScienceFor the last decade, Polarsteps has experienced remarkable growth, primarily driven by word-of-mouth referrals, thanks to our dedicated product and tech teams who have crafted an outstanding user experience for travelers.As a Data Scientist within the Growth & Marketing department, you will play a pivotal role in shaping our growth strategy by analyzing constraints, developing predictive models, and assessing the impact of various product and business initiatives. Collaborating closely with the Head of Growth, you'll convert data into actionable strategies that prioritize new initiatives and enhance insights for our product teams. Your role will involve working alongside cross-functional teams in product, marketing, and design to disseminate insights and promote sustainable growth.With over 20 million users and impressive app store ratings of 4.8 and 4.7, alongside features in multiple showcases by Google and Apple, we have a strong legacy. However, we are even more excited about the future, and you will be instrumental in our mission to reach over 100 million users worldwide.

Are you passionate about data and eager to tackle complex challenges? Do you want to empower organizations to manage and utilize their data effectively? As a Senior Data Management Analyst at BearingPoint, you will play a pivotal role in enhancing our clients' data infrastructure, data literacy, and data governance. You will analyze, design, and implement Data Management solutions that ensure accurate, consistent, and secure data. If you possess a strong analytical mindset and a love for data, we want to hear from you!In this role, you will be part of our Data & Analytics team, assisting clients with a variety of data management and governance issues. Your responsibilities will range from developing data management strategies and improving data quality to drafting data policies and training employees in data-driven practices. You will also have the opportunity to specialize in roles such as data governance specialist, data strategist, or data migration expert.Your key responsibilities include:Developing and implementing data management strategies aligned with clients' business objectives.Analyzing and enhancing data quality to ensure accuracy and consistency.Designing and managing data models.Advising clients on best practices for data management and governance.Collaborating with various teams to implement and integrate data solutions into existing systems.Monitoring compliance with data security and privacy regulations.Supporting initiatives to enhance data literacy among clients.

Are you passionate about leveraging data to deliver exceptional value to clients? If you're excited by the challenge of not just advising but also producing tangible results, we want to meet you. Are you ready to take your career to the next level, tackling complex data challenges and specializing further in data management? Join us!Who We AreAt Precedence, we excel in unlocking the potential within organizations by creating value through innovative digital solutions. Our mission is to translate complex problems into comprehensible digital solutions and streamlined business processes, ensuring our clients remain at the forefront of the digital landscape. We are dedicated to delivering results. Our consultants collaborate with leading clients across various sectors in the Netherlands and beyond, including telecommunications, automotive, government, banking & finance, and pharmaceuticals & healthcare. Our strength lies in our team of 60 dedicated Precedencials.What You'll Do as a Data AnalystIn this pivotal role, you will advise our clients on effective data management, develop data strategies, and translate them into actionable solutions to extract maximum value from their data. Your involvement will span all project phases, from developing data governance frameworks to implementing data quality processes and providing insights on data analysis.Identify improvement opportunities through thorough analysis of data sources and processes.Design and implement data architecture and models to enhance interoperability and scalability.Advise and assist with data integration, migration, and transformation projects to create more efficient systems.Deliver insights that support your clients in making informed business decisions.Provide training and support to users to help them effectively manage and utilize data.

At bunq, we are not merely developing a banking app; we are revolutionizing the way individuals globally achieve financial freedom. We are seeking a Data Scientist to join our marketing division, becoming the analytical powerhouse that drives our growth. You will not only analyze historical data but also create predictive models and dashboards that illuminate our future, enabling our teams to act swiftly and confidently.Embrace ResponsibilityIn your role as a Data Scientist, you will transform strategic ambiguity into analytical precision. You will manage the comprehensive data lifecycle and emerge as a trusted ally who translates intricate data into actionable marketing strategies.Develop and oversee our predictive marketing models and impactful Looker dashboards, delivering the forward-thinking insights and tools essential for our teams to make proactive, data-driven choices.Lead end-to-end analytics pipelines using SQL and Python, encompassing data cleaning, feature engineering, and model development, to provide clear, actionable insights that shape our marketing approach.Collaborate closely with product, marketing, and engineering teams, translating complex analytical results into practical recommendations and establishing yourself as the go-to advisor for data-driven marketing.

In response to our ongoing growth, Sia is seeking experienced Senior Data Science Consultants to join our dynamic data science team. You will collaborate closely with various departments to lead projects requiring the implementation of sophisticated models that address clients' challenges in:Machine Learning and Statistics: Creating explanatory and predictive decision-support models utilizing supervised and unsupervised learning algorithms, econometrics, forecasting, and quantitative diagnostics.Operational Research: Designing and executing optimization solutions within constraints and developing simulation models.Big Data: Leveraging algorithmic expertise to process extensive volumes of unstructured data.Your role will encompass operational tasks as well as contributing to the internal growth of the firm. You will:Enhance and develop our offerings through training sessions, collaborative working groups, and sharing knowledge via internal and external channels.Contribute to the firm's visibility by participating in our publication strategy (writing articles, conducting studies, etc.) and representing Sia at various professional gatherings and events.Support business development through the creation and presentation of commercial proposals, while identifying new collaboration opportunities with clients.Oversee projects from initiation to completion, ensuring consistent communication with both management and clients to uphold our commitments.Build strong client relationships, establishing yourself as a trusted expert at the management level.Mentor and supervise consultants, from junior to experienced levels, acting as a reference point for project oversight, deliverable validation, performance evaluation, and facilitating their professional development.

Join Red Bull as a Supply Chain Data Analyst, where you'll play a crucial role in optimizing our supply chain operations. Your analytical skills will drive data-driven decision-making, enhancing efficiency and effectiveness across various processes. Collaborating closely with cross-functional teams, you will leverage data to identify trends, support strategic initiatives, and contribute to overall business success.

Join our dynamic team as a Data Analyst / Analytics Engineer, where you'll play a pivotal role in transforming raw data into actionable insights that drive our strategic objectives for European expansion.At Insify, we are revolutionizing the insurance landscape for entrepreneurs. As fellow entrepreneurs, we understand the challenges of building and managing a business. Our goal is clear yet ambitious: to simplify business insurance tenfold for entrepreneurs and SMEs across Europe. We eliminate paperwork, confusing jargon, and outdated processes, delivering a seamless experience through modern technology, smart automation, and a customer-centric approach.As a rapidly growing European scale-up, backed by €43M from leading investors, Insify aims to establish itself as the foremost digital insurance provider for entrepreneurs and SMEs on a global scale. We started our journey in the Netherlands and have expanded into France and Germany, with plans to accelerate our growth. At our core, we are a technology-driven company, developing our own insurtech platform that leverages data, automation, and AI to transform the insurance process—from underwriting to claims. With a fully digital customer portal and an emphasis on user experience, we are committed to making insurance straightforward, transparent, and equitable. Our leadership consists of experienced entrepreneurs who bring a sense of urgency and ownership to our mission.Our Culture: A Brief InsightWe are not just building a company; we are creating a category leader. This endeavor demands ambition, accountability, and speed. Our culture is characterized by three fundamental principles:High Ownership: Team members take full responsibility for their tasks. If something is amiss, we proactively address it.High Pace: We embrace flexibility, making quick decisions and valuing progress and learning over perfection.High Standards: We prioritize outcomes over appearances, focusing on results, quality, and accountability.Collaboration is at the heart of our operations. We encourage in-person interactions, challenge each other's ideas, and welcome insights from all team members, regardless of their role or experience. The best ideas often emerge from unexpected sources, and we cultivate an environment where they can be shared.At Insify, we operate as a close-knit team. You will have the opportunity to connect with colleagues easily, fostering an engaging atmosphere where questions and ideas can be exchanged freely. We seek intelligent, ambitious individuals who think like owners, value intellectual honesty, and are driven by impact rather than comfort. If you thrive in an environment filled with challenges and opportunities to create meaningful change, you will excel here. However, if you prefer predictability and narrowly defined roles, this may not be the right fit for you.

Join our dynamic team at sia as a Data Analyst, where your skills will drive impactful data-driven decisions. You will be responsible for analyzing complex datasets, generating insightful reports, and providing actionable recommendations to enhance our business strategies.

Everfield invests in and manages specialized software companies across Europe, supporting their growth with proven strategies and operational expertise. The company focuses on delivering essential software solutions and services to clients in various niche sectors, aiming to strengthen both customer relationships and market presence. Role overview The Payments Data Analyst serves as the main contact for Payments Business Intelligence at Everfield. This role connects the Payments organization with the broader Business Intelligence team, translating complex payments data into clear, actionable insights that inform business decisions. Collaboration is a key part of the job. The analyst works closely with Payment Service Providers, different Business Units, and senior leaders such as Payments Leads, Head of Operations, Head of Commercial, and CTO. Together with two Data Engineers, the analyst helps build and maintain data pipelines, managing the process from raw payments data to business intelligence outputs. The analyst delivers insights to stakeholders across Everfield, including the CEO, CFO, COO, Payments leadership, and portfolio companies. The team focuses on actionable insights, automated reporting, deep analysis, and continuous improvement of data quality. The technology stack includes Azure Synapse for data ingestion, Databricks for transformation, Power BI for visualization, and SQL for analytics. This position offers growth potential as Everfield plans to expand from 40 to about 80 portfolio companies over the next four years. As the company grows, the BI team’s influence and the analyst’s responsibilities will also increase. What you will do Collaborate with stakeholders to define and document reporting requirements. Develop feature roadmaps and communication plans to keep projects aligned with business goals. Identify ways to improve portfolio-level data capture and recommend new variables or methods. Location This position is based in the Netherlands (Amsterdam) or can be performed remotely.

The Autoriteit Financiële Markten (AFM) supervises over 300 asset managers, overseeing assets that total more than 2,000 billion euros. Data is central to this work. As a (Junior) Data Analyst in Asset Management, the focus is on tackling data-related challenges across the department and developing solutions that address complex supervisory questions. What you will do Analyze large datasets and translate findings into actionable insights and risk signals. Collaborate in multidisciplinary teams to design and deliver end-to-end data products, including dashboards, models, and reports. Develop data-driven solutions for intricate supervisory issues, supporting effective oversight. Apply NLP and language models to supervisory documents, such as using smart assistants to assess fund documentation. Identify opportunities for improved supervision and turn them into scalable data solutions. Team and collaboration This role is part of the Business DevOps team within the Asset Management department. The team works within the Explorer group and collaborates across the department, providing data insights to the Explorer, Gatekeeper, and Continuous Supervision teams. Working alongside data engineers and other specialists, the environment encourages experimentation, knowledge sharing, and the development of new insights. There are opportunities to share expertise within the AFM data community and to collaborate with other supervisory organizations at both the national and European levels. Application process The application deadline is May 18, 2026. The vacancy may close earlier if enough suitable candidates are identified.

Join our dynamic team at dev2 as a Data Analyst specializing in Order to Cash. In this role, you will harness data to drive efficiency and optimize our order management processes. Your analytical skills will play a crucial part in enhancing our financial operations and ensuring seamless transaction management.