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Experience Level
Entry Level
Qualifications
We are looking for candidates with a strong background in data analysis, preferably within the supply chain or logistics sector. Proficiency in data visualization tools and statistical software is essential. A Bachelor’s degree in Supply Chain Management, Business Analytics, or a related field is preferred. Strong communication skills and the ability to work collaboratively in a fast-paced environment are also key.
About the job
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.
About Red Bull GmbH
Red Bull is not just an energy drink; it's a global brand that embodies a lifestyle of adventure, excitement, and performance. With a commitment to innovation and excellence, Red Bull continues to push the boundaries of what's possible, making it a thrilling environment for ambitious professionals.
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.
Join the Adyen Team! Adyen is a leading financial technology platform that provides businesses with a comprehensive suite of payment, data, and financial solutions, trusted by industry giants such as Meta, Uber, H&M, and Microsoft. We are committed to engineering innovative solutions that empower our customers to achieve their ambitions. At Adyen, we foster an environment that offers our team members opportunities for personal and professional growth, supported by a culture that values ownership and ambition. Our motivated individuals tackle unique technical challenges collaboratively, delivering ethical and innovative solutions that accelerate business success. Position Overview: Senior Treasury Analyst - Cash Management We are seeking a Senior Treasury Analyst to become a key member of our Merchant Finance and Treasury team based in Amsterdam. As part of our team, you will play a pivotal role in optimizing and automating financial processes, managing risk, and driving growth through a customer-centric approach, operational excellence, and integrity. The Treasury sub-team is dedicated to ensuring the effective operation of Adyen’s payment and financial product offerings by efficiently managing liquidity, foreign exchange (FX), and counterparty concentration risk. Additionally, our team serves as a strategic partner in assessing the implications of future developments on Adyen’s operations and balance sheet, with a focus on cash & liquidity management (CLM). In this role, you will lead initiatives to enhance our CLM activities, addressing both daily operational challenges and long-term strategic goals. You will collaborate with a high-performing team of treasury analysts responsible for global operations, focusing on automation to enhance processes and develop new tools. Your strategic input will be crucial in aligning with stakeholders and driving projects that prepare our team to support Adyen’s growth and new financial products in a scalable and controlled manner. Responsibilities Support and enhance daily cash & liquidity management (CLM) processes and tools; provide insights and recommendations for optimization and automation. Collaborate with the team to resolve operational and strategic challenges while contributing to the development of our in-house Treasury Management System (TMS). Drive automation initiatives to improve operational workflows and facilitate the introduction of new tools. Provide strategic direction and liaise with stakeholders to ensure alignment on projects. Ensure the team is equipped to effectively support Adyen’s growth and the introduction of new financial products.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
Full-time|On-site|Amsterdam, North Holland, Netherlands
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.
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.
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
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.
Full-time|On-site|Amsterdam, Noord-Holland, Nederland
About the Role Budgetenergie relies on data for clear decision-making, and the Data Analyst plays a key part in this process. Based in Amsterdam, this role connects business needs with actionable insights. Expect to move between building dashboards in Power BI, running analyses in SQL or Python, and working directly with stakeholders to clarify business questions. Main Responsibilities Engage proactively with business teams to understand their challenges and spot where data can make a difference, no waiting for tickets. Decide on the best response to each inquiry: sometimes it’s a report, other times a dashboard, a deep-dive analysis, a self-service tool, or guidance. In some cases, explaining why no action is the right call is just as important. Evaluate whether your work helps others make better decisions. If not, adjust your approach and try again. Take full ownership of the Power BI environment. Over 200 users depend on it daily, so quality, consistency, and usability are always priorities, even when no one is watching. What Makes This Role Stand Out This position focuses on impact over volume. Rather than generating endless reports, the aim is to keep insights relevant and avoid information overload. Giving feedback on requests and helping steer the business toward meaningful data use is part of the job.
Part-time|On-site|Amsterdam, Noord-Holland, Nederland
Met jouw data-inzichten maak je wonen in Amsterdam betaalbaar en toekomstbestendig.Word Stadgenoot. Voor jezelf. En elke AmsterdammerAls data-analist bij Stadgenoot speel je een cruciale rol in het verstrekken van waardevolle beleidsinformatie over de woningmarkt. Hierdoor draag je indirect bij aan een toegankelijk en leefbaar Amsterdam. Dit is jouw kans om je analytische vaardigheden verder te ontwikkelen en strategisch advies te geven. Voor iedere Amsterdammer zorg jij ervoor dat we weloverwogen keuzes maken die bijdragen aan de betaalbaarheid en kwaliteit van woningen.Zo werk jij aan een toegankelijk en bewoonbaar AmsterdamIn je rol als data-analist bij Stadgenoot werk je dagelijks met kwantitatieve data. Je verzamelt, beheert, bewerkt, analyseert en interpreteert gegevens om bruikbare inzichten te creëren voor de organisatie. Je bent essentieel in het vastleggen, monitoren en actualiseren van het huurbeleid. Ook draag je bij aan periodieke rapportages, zowel intern als extern. Daarnaast initieer je automatiseringsprocessen die het werk efficiënter maken, zoals het opzetten van dashboards of het implementeren van nieuwe tools.Collega’s zien jou als een betrouwbare adviseur op het gebied van data, en je denkt constructief mee om maatwerkoplossingen te bieden voor diverse vraagstukken. Je onderhoudt ook een netwerk met externe partners, zodat de organisatie altijd over actuele en relevante inzichten beschikt.
Join NBCUniversal as a Finance Data Stewardship Analyst, where you will play a vital role in ensuring the integrity and accuracy of financial data. This position offers an exciting opportunity to work with cross-functional teams to enhance data processes and facilitate informed decision-making.
Join Lucid Motors as a Supervisor of Order Operations, where you will play a pivotal role in overseeing our order processing team. You'll ensure smooth operations, manage team performance, and collaborate with various departments to enhance customer satisfaction. Your leadership will help us maintain our commitment to excellence and innovation in the EV market.
Full-time|On-site|Amsterdam, Netherlands; London, United Kingdom
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.
At JetBrains, we are driven by a passion for code. Since our inception in 2000, we have dedicated ourselves to developing the most powerful and efficient developer tools available. Our solutions automate routine checks and corrections, allowing developers to focus on growth, innovation, and creativity.The JetBrains AI division is working on a groundbreaking platform that integrates AI capabilities across all JetBrains products. This platform utilizes proprietary models for writing and coding assistance, alongside integrations with large language models (LLMs) from leading providers like OpenAI and Google.As part of the JetBrains AI Analytics team, we employ quantitative methods to shape the development of AI-driven products. Our analytics support product and marketing strategies, optimize AI operational costs, and ensure our infrastructure can sustainably manage the required LLM workloads. We seek a dedicated Data Analyst to assess platform usage and billing data from AI-enhanced JetBrains products.
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.
Everfield specializes in acquiring and operating software companies across Europe, focusing on vertical markets and supporting growth through proven strategies. The company’s portfolio spans the UK, Germany, the Netherlands, France, Poland, Spain, and Latvia. By offering operational support and identifying new opportunities, Everfield helps its companies expand and innovate in their industries. Role overview The Financial Data Analyst collaborates with Finance, Business Intelligence, and regional teams to enhance financial reporting and analytics. This position works alongside data engineers to build and maintain data pipelines, transforming financial information into practical insights for the business. As a member of the BI team, the analyst delivers analysis, automates reporting, and improves data quality for key stakeholders such as the CEO, COO, Finance, and portfolio companies. The team relies on Synapse for data ingestion, Databricks for data transformation, and Power BI for visualization. Analytics tasks involve SQL and Python. With Everfield’s portfolio expected to double in the next four years, the BI team’s scope will continue to expand. Main responsibilities Requirements gathering Collaborate with stakeholders to define reporting needs. Develop plans for feature development and communication. Identify new financial data points to collect across the portfolio. Data analysis Examine financial data to produce actionable insights. Location This position is based in Amsterdam, Netherlands. Remote work is possible.
Join our dynamic team at dev2 as a Data Analyst specializing in Accommodations and Partner Interaction Channels. In this role, you will dive into data analytics to enhance our partner engagement strategies, optimizing the user experience across various accommodation platforms.As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to support decision-making. Your insights will help shape our strategic initiatives and drive improvements in partner interactions.
Full-time|On-site|Amsterdam, North Holland, Netherlands
The Role: What's in the Box Factor Europe is experiencing rapid growth, and we are in search of a dynamic Product Analyst to join our Product team as the first dedicated data hire. In this position, you will delve into critical inquiries regarding our journey to achieving Product-Market Fit: focusing on the challenges our customers encounter, understanding what product choices influence their behavior, and analyzing our successes (or failures) with distinct segments. Acting as the technical liaison for a compact, agile Product team (comprising Culinary R&D, Nutrition, Menu Planning, and Strategy), you will assist in defining our product roadmap while enhancing the overall customer experience. This is a unique opportunity for an analyst eager to build and innovate. The Factor Europe team operates with the agility and urgency of a startup, backed by the resources and infrastructure of the HelloFresh Group. If this resonates with you, we would love to connect! What You’ll Do: The Recipe 1. In-Depth Research & Insights Conduct extensive analyses (e.g., cohort analysis, A/B tests) to assess the impact of our product decisions, identifying which recipe/menu changes drive customer retention. Address complex, open-ended research questions, validating our hypotheses regarding customer needs and behaviors, while transforming messy (and often imperfect) data into clear, actionable narratives. Combine quantitative data with qualitative feedback (customer reviews, sensory testing, and surveys) to create a comprehensive view of the customer. Identify opportunities to enhance our customer offerings through independent research and analysis. 2. Infrastructure & Tool Development Create and maintain queries, dashboards, and automated Google Sheet tools that enable the Product team to derive insights independently. Assist in establishing and monitoring relevant metrics that elucidate the causal relationship between our weekly activities, customer engagement, and business performance. Automate repetitive data tasks, allowing the team to allocate more time towards improving our product offerings. 3. Champion Data Culture Foster a culture of data-driven decision-making by promoting data literacy, quality, and best practices within the team. Enhance and automate our weekly business performance review process, ensuring data is relayed effectively.