Senior Analyst, Advanced Analytics

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…

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.

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 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.

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.

UpSlide est la première solution de productivité et de branding dédiée aux services financiers. Notre logiciel révolutionne l'utilisation de PowerPoint, Word, Excel et Power BI, permettant à des entreprises telles que Citi, KPMG et BNP Paribas de se concentrer sur des activités à forte valeur ajoutée au lieu de perdre du temps sur le formatage ou le copier-coller. Nous sommes en forte croissance, avec environ 200 talents dans nos bureaux à Paris (siège social), Londres, New York, Singapour et Berlin.Nos valeurs Nos valeurs fondamentales orientent notre méthode de travail et sont au cœur de notre processus de recrutement. Pour rejoindre notre équipe, nous recherchons des individus qui partagent les valeurs suivantes :Excellence : Chaque détail compte, et nous veillons à la qualité de nos livrables.Confiance : Nous sommes passionnés, engagés, et nous agissons avec autonomie.Bien-être au travail : Nous cultivons un esprit positif et partageons notre enthousiasme avec nos collègues et clients.Missions et responsabilités En tant qu'Ingénieur en Analytics, tu es responsable de la conception et de la maintenance des produits de données qui facilitent la prise de décision et l'optimisation des performances chez UpSlide. Tes responsabilités incluent :Gérer des projets de données de A à Z : cadrage avec les équipes métiers, développement, livraison et amélioration continue.Construire et maintenir des pipelines de données et des transformations sur Microsoft Fabric avec dbt.Concevoir des tableaux de bord Power BI clairs et exploitables pour suivre la performance commerciale et produit.Collaborer avec les équipes RevOps, Success et Product : qualifier les besoins et challenger les priorités de manière autonome.Notre stack techniqueLangages : SQL, Python, etc.

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

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)

Join the Arago TeamArago is at the forefront of innovation in AI and computer hardware, dedicated to advancing technology and shaping the future. Our mission is to catalyze breakthroughs at the intersection of artificial intelligence and semiconductor technology.Established in 2024 by leading AI researchers and physicists specializing in photonics, electronics, software, mathematics, and machine learning, Arago consists of a dynamic team of engineers and scientists sourced from prestigious companies and research institutions around the globe.With a diverse team representing nine nationalities and operational hubs in France, North America, and Israel, we thrive on exceptional science and rapid progress. Our guiding principles include:Deliver Excellence: We take pride in the quality of our work.Agility: We prioritize speed and efficiency in our processes.Team Synergy: We foster a collaborative environment built on trust and respect.Our esteemed team is supported by executives from industry giants such as Apple, Arm, Nvidia, Microsoft, and Hugging Face, alongside influential deeptech venture capitalists and successful founders.

Join Talan as a Senior Data Engineer and leverage your expertise in Dataiku to drive innovative data solutions. In this pivotal role, you will collaborate with cross-functional teams to design and implement scalable data pipelines and analytics frameworks. Your contributions will empower data-driven decision-making and enhance business intelligence.

The Data TeamJoin our dynamic data team at Fabulous, where we collaborate cross-functionally to drive data-driven decisions across various business units including Product Growth, User Acquisition, and Finance.Our team focuses on three primary data domains:Data Project Management: We assess business needs, prioritize requests, refine requirements, and maintain open communication with all stakeholders to ensure a transparent feedback loop.Applied Analytics & Data Science: Engage in data exploration and define agile analytics approaches, balancing simplicity with complexity where necessary. Each new project incorporates a robust Data Science component during its initial MVP phase.Analytics Engineering: We manage data modeling and transformations to build, maintain, and scale our analytics pipelines, focusing on iterative improvement of validated MVPs within our dbt project. Our architecture is designed to manage technical debt effectively, emphasizing thorough testing and data observability.All team members are expected to excel in at least two of these areas to make impactful contributions autonomously.We adopt an agile methodology, breaking larger projects into manageable iterations that typically last no more than three weeks to ensure timely impact.Our modern cloud-based data stack includes Fivetran, BigQuery, dbt, Amplitude, Metabase, and Looker Studio. We are looking to strengthen our team with a skilled Senior Analytics Engineer who can seamlessly integrate into our agile environment and deliver value rapidly.Expectations | DutiesThis role is crucial for the ongoing success of our data science team:Collaborate closely with the Head of Data & Analytics to work on projects focused on data modeling and analytics engineering, aimed at enhancing and maintaining our data models and analytics pipelines.Contribute to our codebase by building, testing, reviewing, and maintaining robust analytics pipelines using SQL and dbt. Managing technical debt and improving engineering practices are key responsibilities.Gradually take ownership of specific areas within the team's responsibilities, influencing how analytics are developed and utilized across business cases.

Join our dynamic team at Dedale Intelligence as a Data Engineer, where you will play a pivotal role in designing and implementing innovative data solutions. Your expertise will help us harness the power of data to drive business insights and enhance decision-making processes.

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.

Note: This position is based in Paris, France - relocation support is available for candidates within the EU. Join Trade Republic, Europe’s leading savings platform, where we empower over 10 million customers across 17 countries to grow their wealth through easy, safe, and free access to financial markets. We are on a mission to democratize wealth and help everyone build a prosperous future. By joining our talented team, you will have the chance to leverage cutting-edge technology and contribute to meaningful change for millions. Key Responsibilities: Collaborate closely with product and business teams to establish and develop impactful product metrics. Create analytical products, including data models, dashboards, and reports, to facilitate self-service reporting and analysis. Enhance our data architecture using Snowflake and dbt, focusing on cost efficiency and performance improvements while adhering to best engineering practices. Own projects end-to-end, from planning through execution and adoption, working independently. Ideal Candidate: Minimum of 5 years of engineering experience with a focus on analytics. Deep understanding of architectural design principles and engineering best practices. Proficient in all aspects of the data pipeline: ingestion, transformation, and mart creation. Familiarity with our tech stack is advantageous: S3, Snowflake, Airflow, Python, and dbt. Why You Should Apply: We foster a culture of ownership, excellence, and high energy. We are committed to achieving results and holding each other accountable as we tackle one of Europe’s significant challenges: closing the pension gap and democratizing wealth. If this excites you, we encourage you to reach out!

Join our team as a Data Scientist and play a key role in managing and optimizing Large Language Models (LLMs) for AI safety.About UsWhite Circle is a pioneering AI Safety company dedicated to enhancing the safety, reliability, and efficiency of AI systems. Our platform is built on policies—clear natural language rules that dictate the appropriate conduct of AI models. We automate the testing, enforcement, and continuous enhancement of these policies at scale.We have secured $11 million in funding from leading investors, including founders and senior leaders from OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others.Our operations handle over 100 million API calls each month.We specialize in fine-tuning and training our own LLMs, enabling them to operate faster and at a lower cost than any available model.As a compact and dedicated team, we offer an environment where you can tackle complex challenges, expedite your work into production, and substantially influence the development of AI safety.Your Role:Transform vast amounts of unstructured text into a structured and navigable format (including topics, clusters, segments, trends, and anomalies), moving from “unknown unknowns” to stable definitions for tracking.Develop scalable representation pipelines: including sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval, making the corpus searchable and analyzable.Utilize LLMs in practical applications: implementing labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of incoming volumes, with cost and quality controls in place.Provide actionable insights that inform decisions: convert your findings into product and operational strategies (identifying available data, gaps, quality issues, and prioritization).Create self-service analytics resources: develop datasets, data models, and user-friendly tools/dashboards to enable team members to explore and address inquiries independently.Collaborate closely with engineering and research teams: ensure alignment of pipelines with production constraints (including latency, cost, and privacy) and integrate outputs into existing workflows.You Will Thrive If You:Possess strong skills in Python and SQL, with an engineering mindset capable of building reliable pipelines rather than just notebooks.Have practical experience in applied NLP/ML on real-world text: including embeddings, clustering, and model training.