Data Analyst - Order to Cash

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 We eliminate paperwork, confusing jargon, and outdated processes, delivering a seamless experience through modern technology, smart automation, and a customer-centric approach.As a rapidly growing European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

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 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.

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.

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.

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.

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.

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.