Analytics Engineer

Join Our TeamDoctolib is seeking a Senior Data Engineer - Analytics to become a vital part of our Analytics Engineering team.In this role, you will be instrumental in creating data products that yield actionable insights and enhance decision-making across Doctolib, contributing to the evolution of healthcare access. You will collaborate with a dynamic team to develop data pipelines and solutions that bolster our organization's capacity for data-driven decision-making and support our AI initiatives.At Doctolib, our tech team is dedicated to crafting innovative products and features that significantly improve the day-to-day experiences of both care teams and patients. We operate in feature teams within an agile framework, fostering close collaboration with product, design, and business teams.Your Key Responsibilities:Develop and maintain data pipelines using Python (Dagster) to align with Doctolib's AI strategy.Build and sustain data marts in BigQuery using SQL/Jinja, DBT.Create insightful dashboards for high-level reporting utilizing Tableau.Engage with stakeholders to identify their data requirements and outline specifications.Ensure data integrity, security (compliance with GDPR), and accessibility through continuous monitoring and optimization.Our Technical Environment:Our solutions are built on a fully cloud-native platform that supports web and mobile interfaces, multiple languages, and is tailored to various country and healthcare specialty needs. We modularize our platform to operate in a distributed architecture leveraging reusable components.Our technology stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We ethically leverage AI across our products to empower patients and health professionals. Learn more about our AI vision here and our first AI hackathon here!Our data stack incorporates Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for business intelligence and reporting.

À propos du posteEn tant que stagiaire Analytics Engineer dans l'équipe B2B Master Data de Doctolib, vous jouerez un rôle clé dans notre moteur de croissance. Notre objectif est de faciliter, coordonner et gérer des flux de données de haute qualité pour nos équipes commerciales et marketing.Nous recherchons un·e innovateur·trice. Vous serez chargé·e de développer des processus et des pipelines de données solides pour optimiser la qualité des données Salesforce, garantissant ainsi que nos équipes puissent travailler avec des données précises, actualisées et complètes.Vos responsabilités incluront :Développement de pipelines de données : Concevoir et mettre en œuvre des flux de données automatisés pour synchroniser et enrichir notre B2B Master Data dans Salesforce.Observabilité et fiabilité : Établir des mécanismes de surveillance pour la qualité, la fraîcheur et la traçabilité des données afin d'identifier et de résoudre proactivement les problèmes.Excellence logicielle : Intégrer les meilleures pratiques CI/CD dans vos workflows de données pour assurer un code de haute qualité et des déploiements sans heurts.

Join Aircall, a groundbreaking unicorn company and AI-driven customer communications platform, empowering over 22,000 businesses worldwide to enhance revenue generation, expedite issue resolution, and expand customer-facing teams. We are revolutionizing customer communication by integrating voice, SMS, WhatsApp, and AI into a unified workspace.Our success is fueled by a straightforward principle: enable teams to work smarter, not harder. With our AI Voice Agent, we automate routine calls, while AI Assist optimizes post-call tasks, and AI Assist Pro offers real-time guidance, allowing our teams to excel in their roles. This results in increased revenue, quicker resolutions, and scalable teams.Headquartered in Paris, with a strong presence in North America centered in Seattle, we also have teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Our product is beloved by customers, and our business is rapidly expanding, supported by top-tier investors and driven by swift AI advancements across various product lines.At Aircall, you will be part of a dynamic company that values ambition, product focus, and effective execution, providing real impact, fast decision-making, and substantial growth.Our Work Culture: We prioritize customer satisfaction, data-driven decisions, and meaningful outcomes. We embrace ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will find your place with us.We are seeking a dedicated and enthusiastic Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will manage our analytics and event platform stack.As a member of the Analytics & Data Platform team, you will develop features for our global customer base of over 22,000 companies. Your contributions will unlock data value, enabling our clients to make informed decisions through real-time insights, monitoring, and detailed analytical reports.

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

About UsAt Ankorstore, we empower independent brands and retailers to flourish by simplifying, accelerating, and enhancing the profitability of wholesale transactions.We are constructing the infrastructure that drives modern wholesale for brands—facilitating their discovery by the right retailers, streamlining ordering processes, logistics, and financing—enabling both parties to collaborate under more sustainable conditions.As a Senior Analytics Engineer, you will play a crucial role in enabling Ankorstore’s teams to make informed, data-driven decisions by designing, developing, and maintaining high-quality analytical data models.You will collaborate closely with internal customer teams (Product, Engineering, Finance & Operations) to identify their analytical requirements, prioritize initiatives, and deliver reliable data assets that support both daily decision-making and long-term strategic initiatives.You will be part of a dedicated team consisting of a Platform Lead, a Data Engineer, and three Analytics Engineers.

Role OverviewJoin our dynamic team at Mistral as a Data and Analytics Engineer. In this pivotal role, you will play a crucial part in designing, optimizing, and managing our data infrastructure. You will handle vast datasets, enabling our product teams to access secure and reliable data swiftly. Your expertise will be instrumental in enhancing our cutting-edge AI models and empowering business users to make data-driven decisions.Key Responsibilities• Design, construct, and maintain robust data pipelines, ETL workflows, and analytics frameworks. Implement automation for data quality assessments and validation processes.• Collaborate with cross-functional teams to identify data requirements and deliver actionable, high-quality solutions, specifically partnering with machine learning teams to facilitate model training, deployment pipelines, and feature stores.• Enhance data storage, retrieval, processing, and query performance while ensuring scalability and cost-effectiveness.• Establish and uphold data governance, metadata management, and data lineage protocols.• Safeguard data integrity, security, and compliance with prevailing industry standards.Your Profile• Master’s degree in Computer Science, Engineering, Statistics, or a related discipline.• A minimum of 3 years of experience in data engineering, analytics engineering, or a similar position.• Proficient in Python and SQL.• Familiarity with dbt.• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).• Excellent analytical and problem-solving skills with a strong attention to detail.• Proven ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.Preferred Qualifications• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.• Familiarity with machine learning concepts and practices.

Role Overview HelloFresh is hiring a Head of Analytics & Performance in Paris. This leadership role shapes how data supports business growth and operational efficiency. The person in this seat guides analytics strategy and ensures data insights inform major decisions across the company. What You Will Do Lead the analytics and performance team, setting direction and priorities Develop strategies that use data to improve operations and business outcomes Work closely with senior leaders to embed analytics into decision-making Build and refine frameworks for data analysis and reporting What We Look For Experience leading analytics or performance teams Strong background in data-driven strategy and business growth Ability to influence decisions with clear, actionable insights Comfort working in a changing, collaborative setting This is a full-time position based in Paris.

Role overview nexton seeks a Senior Analytics Engineer with strong expertise in dbt and Snowflake. This Paris-based position centers on building and optimizing analytics solutions that transform data into actionable insights for the business. What you will do Work with teams throughout nexton to design, build, and refine analytics workflows Create and maintain data pipelines using dbt and Snowflake Monitor data quality and make improvements to ensure accurate reporting Deliver analytics and reports that inform business decisions Engage with stakeholders to understand their needs and develop data-driven solutions Impact This role plays a key part in supporting strategic decisions and shaping nexton's data initiatives. The results of your work will be visible and valued across the company.

Join our innovative team at Ledger, where we are redefining digital ownership and empowering individuals to manage their value with freedom. Our mission is to make self-custody accessible for everyone, fostering a world in which users, creators, and enterprises can confidently manage their financial futures. We thrive on curiosity and strive to create solutions that challenge the status quo, ensuring our technology is available to all.As a leading global platform for digital assets and Web3, Ledger secures over 20% of the world's crypto assets through our advanced devices. With headquarters in Paris and additional offices worldwide, our diverse team of around 600 professionals is dedicated to developing state-of-the-art products and services for securely managing crypto assets. We have successfully sold over 7.5 million units of our Ledger hardware wallets across 200 countries.The TeamOur Data team plays a pivotal role in leveraging data to inform strategic business decisions and enhance our product offerings. As a crucial member of this team, you will engage in end-to-end data projects, from defining key metrics and building robust data pipelines to deploying analytical models. Your insights will drive company performance assessments, user behavior analyses across various protocols, and will directly contribute to Ledger's growth and security strategies. If you are a passionate data professional eager to make an impact in the cutting-edge Web3 ecosystem, we invite you to apply for this role.Key ResponsibilitiesData Architecture & Modeling: Design and maintain scalable data pipelines (ELT) utilizing dbt and Airflow, optimizing our Snowflake warehouse for performance and clarity.Complex Data Mapping: Transform raw, unstructured technical data into clean, actionable business entities.Stakeholder Partnership: Collaborate with Product, Engineering, and Finance teams, translating high-level business objectives into technical specifications.

Your RoleAt Doctolib, we are committed to revolutionizing healthcare with innovative AI solutions. As a Senior AI Data Engineer, you will be a pivotal player in constructing and refining the data infrastructure within our AI Team, enabling the development of safe, scalable, and impactful AI models.You will collaborate with a skilled team dedicated to enhancing data infrastructure for Large Language Models (LLM), Vision Language Models (VLM), and Retrieval-Augmented Generation (RAG) systems, which will power our groundbreaking AI Medical Companion.Your expertise will empower our engineers and data scientists to efficiently train, evaluate, and deploy AI models using high-quality, well-structured, and compliant data.Key Responsibilities:Guarantee exceptional data quality standards for inputs to AI models.Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning applications.Implement frameworks for data ingestion and transformation that support Retrieval systems and training datasets for LLMs and multimodal models.Architect and manage NoSQL and Vector Databases for the efficient storage and retrieval of embeddings, documents, and model inputs.Collaborate with ML and platform teams to establish data schemas, partitioning strategies, and governance rules ensuring privacy, scalability, and reliability.Integrate unstructured and structured data sources (text, speech, images, documents, metadata) into cohesive data models ready for AI utilization.Optimize the performance and cost of data pipelines utilizing GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).Contribute to frameworks for data quality and lineage, ensuring AI models are trained on validated, auditable, and compliant datasets.Continuously assess and enhance our data stack to expedite AI experimentation and deployment.

Join Vusion Group SA as an Analytics Engineer and play a pivotal role in transforming data into actionable insights. In this full-time position based in Paris, you will collaborate with our R&D department to design and implement robust analytics solutions. Your expertise will help shape data strategies that drive decision-making and enhance our product offerings.

Join Skello as an Analytics Engineer, where you will play a crucial role in transforming data into actionable insights. Your expertise will help shape data-driven decision-making across the organization. You will work collaboratively with cross-functional teams to develop and maintain data pipelines, ensuring the accuracy and accessibility of data.

nexton is seeking an Analytics Engineer Intern to join the Paris team. This internship focuses on transforming data into useful insights for clients and contributing to projects that drive measurable results. What you will do Support data analysis, retrieval, and visualization activities Contribute to delivering clear, actionable findings for clients Collaborate with analytics professionals on ongoing assignments Build practical skills by working on real business challenges Location This position is located in Paris.

Role overview The Consultant - Analytics Engineer position at sia in Paris centers on transforming data into practical insights for clients. This role involves working closely with professionals from different backgrounds to understand specific business issues and help shape effective solutions. The main goal is to support organizations in making better decisions and improving their operations. What you will do Analyze data to identify trends and provide guidance for client strategies Collaborate with teams across various functions to clarify business requirements Design and implement solutions that enhance efficiency and organizational performance

Role overview Alten is looking for a Senior Data Engineer to join the team in Paris. This role focuses on designing and building data solutions that support business intelligence and analytics efforts. What you will do Design and implement data architectures and pipelines Support business intelligence and analytics projects with reliable data solutions Work to optimize data systems for performance and integrity Location This position is based in Paris.

About the Internship Doctolib is hiring a Business Data Analyst intern for July 2026 in Paris. This role supports data-driven decisions that help improve healthcare services. The internship offers hands-on experience working with large datasets and real-world projects that affect patient care. What You Will Do Work with teams across the company to support business goals Analyze and interpret complex data sets Contribute to projects that aim to improve patient experience and healthcare outcomes Location Paris, Paris, France

Join Our Dynamic Team At Doctolib, our Performance Marketing team is dedicated to acquiring, converting, activating, and engaging healthcare professionals across France, Italy, and Germany while maximizing ROI. We are a passionate group of 12 professionals structured around three key pillars: Website, CRM, and Paid Acquisition. Working at the forefront of marketing, data, and technology, we leverage cutting-edge tools such as Braze, BigQuery, Amplitude, and Claude Code. We are currently undergoing a significant transformation powered by AI, making our daily operations smarter and more efficient. If you are passionate about building impactful solutions, automating processes, and turning data into actionable insights for business owners, you will thrive in our environment. Your Role As the Digital Analytics & CRO Lead, you will serve as the analytical backbone of our Performance Marketing team. You will be responsible for defining and executing our data and analytics strategy across website, CRM, and paid channels, while developing the tools, pipelines, and automations that help our team work faster and smarter. You will collaborate closely with Marketing, Product, Customer Engagement, and our central Data team. The impact of your work will be immediate and significant: every optimization, targeting tool, and dashboard you create will enhance conversion rates, strengthen campaigns, and improve the experience for healthcare professionals. Your responsibilities will include, but are not limited to: 1. Data & Analytics Infrastructure Manage and enhance our analytics stack (BigQuery, Amplitude, Metabase) — including setup, configuration, maintenance, and documentation. Develop and maintain tracking plans to ensure data quality, reliability, and GDPR compliance. Build and maintain data pipelines in collaboration with the central Data team (GCP, Dagster). Maintain our Data Tag Management (DTM) and create new tags as our tools evolve. Utilize AI agents — particularly Claude Code in VSCode — as essential tools for SQL writing, documentation generation, and new integrations. 2. Targeting & Segmentation Design, build, and maintain a scalable targeting tool to drive CRM and Paid campaigns across France, Italy, and Germany. Empower Marketing, Product, and Customer Engagement teams to monitor 100% of their actions with reliable, accessible data. Create audience segments, cohorts, and scoring models directly from BigQuery. Develop automated targeting tools and data-driven workflows for business owners.

Labelium seeks a Lead Analytics Engineer to drive its analytics initiatives in Paris. This role plays a central part in shaping how the company uses data to support decisions across the organization. Key responsibilities Oversee analytics projects from initial design through to full implementation Collaborate with teams across the business to deliver advanced analytics solutions Ensure that strategies and recommendations are grounded in strong data insights Location This position is based in Paris.

Join Polar Analytics: The Premier Data Platform for Consumer Brands ‍At Polar Analytics, we transform complex data into actionable insights, empowering brands to make informed decisions swiftly and efficiently. Our platform is powerful yet accessible, providing DTC brands with the analytics they need to achieve scalable profitability. Our mission is clear: we aim to accelerate the growth of independent DTC brands—enabling them to compete effectively and profitably.Why Choose Polar Analytics? 4,000+ Brands and CountingWe’ve expanded to over 4,000 active merchants as of January 2025, with plans to reach 10,000+ within this year. Revolutionizing AnalyticsPolar is redefining the Shopify analytics landscape through innovative data infrastructure designed for seamless orchestration—placing us at the leading edge of AI-powered commerce automation. Supported by Top-Tier InvestorsWe have successfully raised $28.5M from prestigious investors like Frst, Point9, and Chalfen Ventures, recognized for identifying future industry leaders early. A Team of eCommerce & Data InnovatorsOur diverse team comprises seasoned professionals from leading eCommerce SaaS platforms and Silicon Valley data powerhouses, all united by a common goal: to forge the next industry leader.About UsWe are developing a cutting-edge data & AI operating system tailored for eCommerce—think of it as Datadog for retail.Our work involves processing and refining complex Shopify, advertising, and retention data, making it reliable and actionable for teams.We are seeking engineers who desire real ownership and impact.Your RoleIn this role, you will be engaged with core systems including data pipelines, semantic layers, AI evaluation, and experimentation tools that are vital for thousands of merchants daily.This is not a conventional ticket-taking position. You will:Take ownership of challenges from design through to productionSolve complex infrastructure issues (handling petabytes of data, near real-time processing, and high reliability)