Data Quality Specialist

About fifty-five:fifty-five is an innovative data company that empowers brands to leverage data for enhancing marketing, media, and customer experience through a unique blend of specialized consulting and technology services.As a key data and marketing pillar of the Brandtech Group, we offer services that integrate strategic consulting, cloud services, media consulting, and customer experience.With over 400 digital experts, including digital consultants, tracking and media specialists, engineers, and data scientists, fifty-five collaborates closely to deliver top-tier marketing advice and technical support to brands across various industries globally.We partner with advertisers from data collection to activation and utilization, helping organizations evolve into true omnichannel entities that master the efficiency of their digital ecosystems and their synergies with the physical world.Headquartered in Paris, we operate across three time zones from our ten offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. fifty-five places significant emphasis on the well-being of its employees, which has earned us a spot in the Best Workplaces France ranking in 2018.We firmly believe that the work environment is a key component of employee well-being, and we strive to provide excellent working conditions for our Fifty Fivers. Humility, a sense of humor, and human qualities are shared values among all!Context:Following an intensive training phase at our Paris office, you will join a team of experts dedicated to ensuring the quality and reliability of data collection for fifty-five's clients.Responsibilities:Utilizing your technical expertise in web analytics solutions and Tag Management Systems (TMS), you will undertake a variety of assignments for our clients.Your role will involve:Implementing the technical phase of tracking for clients' websites/mobile apps, from requirement gathering to actual data collection, ensuring its quality and reliability;Managing projects directly with clients (overseeing progress, planning, testing strategy, deliverables) concerning data collection issues in Analytics and Media;Sharing your knowledge and expertise both with clients and internally;Maintaining consistent communication with various stakeholders on the client/integrator side;Developing sharp operational know-how (TMS & Analytics);Identifying new business opportunities...

Labelium seeks a Senior Consultant in Tracking & Analytics to join the Paris team. This position focuses on guiding clients to better digital performance by turning data into actionable strategies and insights. Key responsibilities Advise clients on tracking and analytics practices that support their marketing goals. Design, implement, and optimize tracking solutions that fit each client’s requirements. Analyze campaign data and create comprehensive analytics reports to support strategic choices. Collaborate with colleagues who value ongoing improvement and new approaches. Location This role is based in Paris.

Join Wavestone as a Data Analytics & Artificial Intelligence Specialist, where you will play a crucial role in driving data-driven decision-making within our organization. You will be responsible for analyzing complex data sets, developing predictive models, and leveraging artificial intelligence to enhance our analytics capabilities. Collaborate with cross-functional teams to identify opportunities for optimization and improvement, and contribute to the development of innovative solutions that meet our clients' needs.

Join Wavestone as a Business Analytics & Data Transformation Specialist, where you will play a pivotal role in leveraging data analytics to drive strategic insights and transformations for our clients. Your expertise will help organizations navigate their data landscapes, enabling them to make informed decisions and improve operational efficiency.In this role, you will collaborate with cross-functional teams and utilize advanced analytics tools to extract valuable insights from complex datasets. Your contributions will directly support our mission to deliver innovative solutions that enhance business performance.

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.

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 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 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.

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

About the Role Magellan Partners is hiring a Project Manager focused on Data & Analytics for the luxury retail sector in Paris. This position centers on leading projects that use data insights to shape business strategies and elevate customer experiences for luxury brands. What You Will Do Direct cross-functional teams to deliver analytics-driven projects from concept to completion Apply knowledge of the luxury retail market to inform project goals and outcomes Use data analytics to identify opportunities for improving business performance and customer engagement Guide the development of solutions that turn data into actionable insights for stakeholders Who We’re Looking For Experience managing projects in data and analytics Understanding of the luxury retail industry Strong interest in data-driven decision-making Ability to coordinate and inspire teams across functions This role offers the chance to shape how leading luxury brands use data to grow and adapt in a changing market.

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.

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 innovative team at Back Market as a Staff Data Analyst specializing in Care Analytics. In this pivotal role, you will leverage data to drive insights and enable strategic decision-making, contributing to our mission of promoting sustainable consumption through refurbished electronics. You will collaborate with cross-functional teams to analyze trends, enhance our data capabilities, and support our commitment to exceptional customer experiences.

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 Magellan Partners is hiring a Manager, Business Intelligence & Data Analytics for its Luxe Retail division in Paris. This role focuses on shaping data strategies that support business growth and improve customer experiences in the luxury retail sector. What You Will Do Lead the development and execution of data-driven strategies to support decision-making. Work closely with teams across the business to turn analytics into practical business actions. Identify opportunities to improve operational efficiency through analytics and reporting. Translate complex data insights into clear recommendations for retail leadership. Collaboration This position partners with cross-functional groups to ensure data insights inform both day-to-day operations and long-term planning.

Magellan Partners seeks a Manager of Business Intelligence and Data Analytics to join its luxe retail team in Paris. This leadership position shapes data strategy and analytics projects for clients in the luxury retail sector. The work aims to help retailers make informed decisions and stay competitive. Key Responsibilities Oversee business intelligence projects tailored to luxury retail clients Design and carry out data analytics strategies that address client needs Use BI tools and analytics methods to tackle client business challenges Work closely with teams to translate data into practical recommendations Location Based in Paris

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.

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.

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.