Senior Data Analyst - Capacity Management Team

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 too…

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.

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.

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.

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.

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.

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.

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.

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.

Pinely is seeking a dedicated and skilled Senior Research Analyst to enhance our intricate production systems utilizing advanced analytics and machine learning techniques. In this role, you will tackle complex challenges in an agile environment, applying your proficiency in statistical analysis and uplift modeling.Key Responsibilities Establish and execute performance metrics to track project success; Identify operational bottlenecks and opportunities for expanding market share; Refine trading constraints and assess the impact of proposed changes; Conduct A/B testing and rigorously analyze results; Break down strategies into quantifiable metrics; Detect anomalies and scrutinize performance discrepancies; Facilitate quicker decision-making processes by developing analytical dashboards; Enhance simulation reliability through the training of dynamic parametric models. Qualifications Proficient in Python, with hands-on experience in libraries such as pandas, numpy, and PyTorch; Strong foundation in probability and mathematical statistics; Demonstrated experience in data analysis and machine learning methodologies; Expertise in statistical testing and A/B experiment design; Familiarity with machine learning system architecture; A fervent interest in exploring complex, open-ended questions through data; Aiming to enhance decision-making processes based on probabilistic analysis; Passionate about optimizing metric sensitivity and statistical power. What We Offer Competitive base salary with attractive social benefits; Robust bonus structure with flexibility in salary discussions; Access to state-of-the-art hardware and software, along with high-caliber technical expertise, facilitating the implementation of innovative ideas and achieving outstanding results; Opportunities to trade across numerous international exchanges; Flexible working environment with minimal bureaucracy and management oversight; Tuition reimbursement and sponsorship for conferences and training programs.

Join sia as a Senior Data Science Consultant in the vibrant city of Amsterdam! We are seeking a talented individual who is passionate about leveraging data to drive business insights and innovation. In this dynamic role, you will collaborate with clients to develop data-driven strategies, implement advanced analytics solutions, and support decision-making processes.As a Senior Data Science Consultant, you will utilize your expertise in statistical modeling, machine learning, and data visualization to solve complex business challenges. You will have the opportunity to work with cutting-edge technologies and methodologies in a collaborative environment.

Senior Data EngineerAbout AND DigitalAt AND Digital, we are committed to accelerating the growth of digital capabilities for organizations. Our mission is to empower visionary leaders and businesses by creating the teams, products, processes, and operational frameworks necessary to bridge the digital skills gap, ensuring their success into the future.Our clients trust us for our extensive expertise, agility, and craftsmanship across technology and business strategy, software development, and product management. We tackle some of today’s most pressing challenges with creative solutions.We are on the lookout for innovative thinkers, skilled tinkerers, passionate software craftsmen, and motivating technologists to join us in solving complex issues. Together, we are driven by a common purpose and the belief that while technology can enable transformation, it is ultimately the people who drive meaningful change.Your RoleAs a Senior Data Engineer, your primary focus will be to assist clients in meeting their data engineering requirements. You will be involved in the development, deployment, and maintenance of data pipelines within a dynamic Agile environment.Your contributions will significantly influence the team’s Agile practices, technical decision-making, and the overall quality and reliability of our data and processes. Your role will also include mentoring junior and mid-level technologists, both at AND and for our clients, which encompasses the following responsibilities:Extracting data from diverse data sourcesCreating code for data ingestion and transformationTransforming data to empower data scientists and product analystsDesigning and building scalable and extensible data architecturesExecuting large-scale batch and real-time processingAdvising clients on effective data engineering strategiesCollaborating with technical leads for system integrationsShaping Technical DirectionActively engaging with our Consultancy Data Strategy and Insight practice to formulate and implement clients’ data strategiesPromoting and maintaining high standards of technical quality