Data Analyst at Stadgenoot | Amsterdam

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 We eliminate paperwork, confusing jargon, and outdated processes, delivering a seamless experience through modern technology, smart automation, and a customer-centric approach.As a rapidly growing European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.

Role Overview As a Senior Data Analytics Engineer based in Amsterdam, you will transform raw data into a strategic asset for the company. While the DataOps team builds the core infrastructure, this role focuses on developing the analytical framework that supports financial reporting, product forecasting, and go-to-market planning. The position connects technical infrastructure with business leadership, ensuring every department has reliable, self-service access to the data needed for quick decision-making. Your First Year First 3 months: Get to know the current technology stack (GCP, BigQuery, Airbyte, dbt), core business data models, and any data flow challenges. Deliver and refine initial high-priority models for product usage and financial reporting. Work closely with the Data Engineer to align on the new infrastructure roadmap. By 6 months: Build a semantic layer to standardize KPIs across the company. Lay the groundwork for AI-readiness and enable advanced natural language querying. After 1 year: Take full ownership of the company’s data modeling architecture. Ensure it supports AI and machine learning applications. Advise department heads by using data to shape long-term growth and forecasting strategies, while maintaining a governed data environment that gives business users confidence to explore data on their own. Key Responsibilities Data Product Ownership: Manage the full lifecycle of internal data products. Work with stakeholders to turn business questions into technical solutions, choosing the right tools to keep reporting scalable and accessible. Analytics Engineering: Design, build, and maintain core data models using dbt Labs. Develop the logic for critical datasets, including those used for financial reporting, churn forecasting, and reverse-ETL processes that sync warehouse data with business tools like Planhat and HubSpot. Data Governance and Semantic Layering: Uphold data integrity by implementing governance standards and developing the semantic layer to ensure consistent metrics across the company. Data Enablement: Partner with RevOps to create training and documentation that helps teams in Finance, Product, and GTM work independently with data products.

Join our dynamic Tech & Data team as an Analytics Engineer, where structured problem-solving meets innovative thinking. We're searching for an enthusiastic individual who thrives on creating robust and scalable data infrastructure while revealing insights that empower informed decision-making throughout our organization.In this pivotal role, you will blend analytical thinking with hands-on execution. Collaborating closely with cross-functional teams, you will streamline complex data challenges and enjoy the freedom to design systems that elevate Parfumado to become Europe’s leading perfume discovery platform. Intrigued? Read on.Note: You must currently reside in the Netherlands and possess a valid work permit or visa.Your ImpactTake ownership of our data platform, ensuring it remains fast, scalable, and reliable.Develop data models that empower teams to enhance their decision-making processes.Establish a robust data foundation to support Parfumado's future growth.Key ResponsibilitiesMaintain and develop our data architecture to ensure optimal reliability and performance.Design and enhance scalable data models in Snowflake and dbt.Build and manage ETL/ELT pipelines using tools such as Fivetran or custom Python scripts.Transform business inquiries into actionable data solutions and insightful dashboards.Proactively monitor data quality and resolve issues before they affect team operations.Collaborate with various departments (Marketing, Finance, Operations) to align data requirements with solutions.Foster a data-driven culture by enhancing documentation and improving data accessibility.What We OfferA competitive salary ranging from €5,000 to €6,000 per month, based on experience.A flexible Alleo budget that can be used for services like Felyx, Treatwell, Uber Eats, ClassPass, and Peakz Padel.Exclusive discounts at top brands such as Adidas, Zalando, and NAK-D through our Corporate Benefits platform.

Join Lucid Motors as a Business Analyst focusing on Sales Analytics. In this role, you will leverage data-driven insights to enhance sales strategies, optimize performance, and drive revenue growth. Collaborate with cross-functional teams to analyze sales trends, develop reports, and provide actionable recommendations. Your contributions will directly impact our business decisions and shape the future of electric vehicle sales.

Join our innovative team at sia as a Data Analytics Consultant, where your analytical skills will help drive business decisions and strategy. In this role, you will analyze complex data sets to extract insights that inform our clients’ decision-making processes. You will work collaboratively with cross-functional teams and directly engage with clients to deliver actionable strategies based on your findings.

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 your needs are unique. Choose to work from one of our office locations or remotely, as per your preference.Mentorship: Benefit from the guidance of experienced colleagues who will assist you in your onboarding and professional development.Personal Development: Anticipate engaging responsibilities that allow for significant creative freedom, a steep learning curve, and access to a wide variety of training courses.Team Spirit: We promote a collaborative culture with flat hierarchies. Our commitment to ecological responsibility and social engagement is part of who we are.Remuneration Model: Take advantage of our attractive remuneration structure, featuring performance-related bonuses.Work-Life Balance: We provide numerous options to enhance your work-life balance, including sabbaticals and workcations.Your Future TasksAs a (Senior) Data Analyst or Scientist, you will collaborate with clients and team members to analyze data, create insightful visualizations, and develop data-driven recommendations.Proven experience in data science and analytics.Strong problem-solving abilities and a fresh approach to projects.Establishing ETL pipelines for effective data processing.Designing and implementing data storage solutions using cloud technologies (AWS, Azure, GCP).Employing machine learning and AI techniques to provide value to businesses.

Join Our Team as an Analytics Engineer At Insify, we are not just another company; we are at the forefront of a revolution in the insurance sector. Backed by €43M in funding from prestigious investors such as Accel, Munich Re Ventures, and Formula 1 champion Nico Rosberg, we have rapidly expanded from our roots in the Netherlands to France and Germany. Our goal? To lead the European market and establish ourselves as a global powerhouse in AI-driven SME insurance. Our culture is dynamic, high-pressure, and driven by a mission to succeed. We seek intelligent and ambitious individuals who possess the tenacity to excel and share our vision of becoming a category leader on a global scale. Our founding team is comprised of experienced entrepreneurs who have successfully built renowned businesses like HelloFresh, Bloomon, and SumUp, merging extensive fintech and e-commerce knowledge with innovative AI technology. We are currently seeking a motivated Analytics Engineer to collaborate closely with our Product and Insurance teams. In this role, you will contribute to the development of instant, personalized, and affordable financial safety products tailored for entrepreneurs.

Join Vattenfall as a Senior Analytics Engineer and play a crucial role in our mission to create a sustainable energy future. In this position, you will leverage your analytical skills to transform complex data into actionable insights, driving strategic decisions across our organization.

Angi seeks a Lead Analyst to shape customer service analytics across multiple European locations. This role influences how the company understands customer behavior and service quality, providing insights that support strategic decisions and drive improvements in customer satisfaction. Key responsibilities Lead analytics projects focused on evaluating customer service performance and satisfaction metrics Analyze data sets to identify trends and generate insights about customer interactions Develop actionable recommendations based on findings to enhance operational processes Collaborate with teams across the business to implement data-driven improvements Work locations Aix-en-Provence, France – Hybrid Amsterdam, Netherlands – Hybrid Berlin, Germany – Hybrid London, UK – Hybrid

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.

Are you passionate about data and eager to assist clients in navigating complex challenges through data analysis? Do you want to empower organizations to understand their historical data and guide them in making data-driven decisions? If these questions intrigue you, a role as a (Senior) Data Analytics Consultant at BearingPoint might be the perfect fit!In this position, you will collaborate with clients and team members to analyze data, create valuable visualizations, and develop data-driven recommendations.Your key responsibilities will include:Processing data by setting up ETL pipelines.Designing and developing data storage solutions using cloud technologies (AWS, Azure, GCP).Creating reports and dashboards for descriptive, predictive, and diagnostic analytics.Conducting analyses that support decision-making or the execution of business processes.Applying machine learning and AI techniques to create qualitative and quantitative value for businesses.Providing guidance and support to clients or your BearingPoint colleagues in implementing the outcomes of analyses.About BearingPointBearingPoint is an independent consulting firm with European roots and a global reach, generating over a billion euros in revenue. We recognize that the world is constantly changing, which is why we offer tailored solutions for complex business environments, striving to make a sustainable impact every day.With a team of over 100 consultants in Amsterdam and a global network of more than 6,000 experts, we provide ample growth opportunities. At BearingPoint, we believe our success hinges on the passion and talent of our people; therefore, we greatly value your personal development. Our consultants are flexible, deeply engaged, and possess a pragmatic yet innovative mindset.Our practice in Amsterdam consists of six service lines:Customer & Growth (Customer Excellence, Commerce & Service)People & Strategy (Change Management, Business Strategy & Organizational Design, HR People Excellence)Technology (Tech Architecture, Digital Platforms & Scrum/Agile, Business & IT Transformations)Data & Analytics

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.

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 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.

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.

airapps is hiring a Data Engineer in Amsterdam. This position centers on building and maintaining data pipelines that support analytics and data architecture needs across the company. Role overview The Data Engineer will design and implement data solutions that help teams make informed decisions. This work involves structuring data flows and ensuring that information moves efficiently and accurately throughout the organization. What you will do Create and maintain data pipelines to support analytics and reporting Contribute to the overall data architecture Support data-driven decision making by ensuring reliable data delivery Requirements Experience with data architecture and analytics Ability to design and implement data pipelines Interest in working collaboratively within a team

As a Senior Manager of Data Science Insights and Analytics at dev2, you will lead a dynamic team dedicated to transforming data into actionable insights. Your role will encompass overseeing data analytics projects, driving strategic decision-making, and enhancing our selection processes through innovative data-driven methodologies.You will collaborate closely with cross-functional teams to harness the power of data, ensuring that our analytics capabilities are robust and impactful. This position demands a visionary leader who can inspire and guide a team of skilled data scientists and analysts.

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.

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.