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Experience Level
Experience
Qualifications
The ideal candidate will possess a strong background in data analytics, statistical modeling, and data visualization. Proficiency in tools such as SQL, Python, and Tableau is essential. You should have excellent problem-solving abilities, strong communication skills, and a passion for utilizing data to help businesses thrive.
About the job
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 sia
At sia, we are dedicated to empowering organizations through data-driven insights. Our team of experts combines industry knowledge with advanced analytics to create tailored solutions that meet our clients' unique needs. We foster a culture of innovation and collaboration, making us a leader in the analytics consulting space.
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 e…
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.
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)
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
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.
ContextThe Cybersecurity Practice at Wavestone supports clients in implementing their Digital Identity transformation projects. Identity management is a crucial pillar for controlling cyber risks and is key to successfully executing a Zero Trust strategy (a security principle where no user or device is inherently trusted, and access must be continuously verified).Our projects in this area vary, including audits of current solutions, outlining future projects, and providing expert assistance on specialized topics. They encompass technical dimensions (proficiency with solutions, understanding of regulations, data analysis), business aspects (comprehension of information system usage), and human factors (change management).The Identity Analytics & Intelligence (IAI) segment focuses on creating a
Join fifty-five as a Digital Analytics ConsultantAt fifty-five, we are pioneering a new era in data consultancy, assisting brands in leveraging data to enhance marketing, media, and customer experiences through a unique blend of consulting and specialized technology services.As a key data and marketing pillar of the Brandtech Group, we provide comprehensive services that integrate strategic consulting, cloud services, media consulting, and customer experience.Our team of over 320 digital experts includes consultants, tracking and media specialists, engineers, and data scientists who collaborate closely to deliver top-notch marketing advice and technical support to brands across various industries worldwide.We partner with advertisers from data collection to activation and utilization, aiding organizations in becoming true omnichannel entities that master the effectiveness of their digital ecosystem and its synergies with the physical world.Based 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. At fifty-five, we prioritize the well-being of our employees, which led us to be featured in the Best Workplaces France ranking in 2018.We firmly believe that a conducive work environment is key to employee wellness, and we aim to provide outstanding working conditions for our fifty-fivers. Humility, a sense of humor, and strong interpersonal skills are core values shared by our team!ResponsibilitiesAs a Digital Analytics Consultant (H/F), you will join our team of consultants and actively participate in projects undertaken by fifty-five for our clients. These projects encompass data collection challenges, website conversion optimization, and enhancement of digital media mix performance. Conversion is defined as achieving specific and measurable actions.Aligned with the client’s objectives, your responsibilities will include (non-exhaustive list):Promoting a new vision of digital marketing focused on the user;Implementing an action plan punctuated by various milestones;Ensuring data accuracy;Ensuring the quality of deliverables sent to clients;Overseeing operational and technical implementation;Collaborating with the team to develop fifty-five’s offerings in marketing, technical, and operational aspects;Addressing challenges related to the management of digital activities through key performance indicators;Guiding clients in the optimization of their digital activities.
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.
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.
Join the Future of Shopping with Gorgias!At Gorgias, we envision a world where conversations become the primary method of shopping. We are at the forefront of this transformation, developing a unified AI agent designed to sell, support, and re-engage customers throughout their entire journey. As pioneers in Conversational Commerce, we are setting the stage for the future of eCommerce.Our mission is to transform every interaction between brands and customers into meaningful relationships—personal, seamless, and intelligent. By merging profound product knowledge with cutting-edge AI, we are revolutionizing the shopping experience to be more natural, human, and connected.To achieve our goals, we are unwavering in our focus on:Quality: Creating conversations that resonate authentically and align with brand identity.Experience: Ensuring effortless shopping from initial chat to final checkout.Re-engagement: Facilitating personal, one-on-one dialogues rather than disruptive marketing.The opportunity ahead is staggering. As AI transforms purchasing behaviors, Gorgias is laying the groundwork for the next decade of eCommerce, where every brand boasts its unique intelligent agent, and every customer feels genuinely understood.Be a part of making Conversational Commerce a reality!Why This Role is CrucialAt Gorgias, we have crafted a robust revenue operations engine that empowers us to identify, engage, and convert customers at scale. This integration of data engineering, automation, and applied AI translates raw data into actionable insights for our go-to-market teams.We are seeking a Growth Analytics Engineer to join our Operations Intelligence squad and assist in building intelligent, scalable systems that drive revenue growth. In this role, you will extract and enrich data, develop internal applications, integrate AI workflows, and tackle real-world challenges across sales, marketing, and customer success.This is an exciting opportunity for a technically skilled individual who also possesses a business mindset, eager to thrive in a fast-paced, collaborative, and curious team environment.
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.
Digital Analytics Consultant InternAbout fifty-fivefifty-five is an innovative data company that empowers brands to harness data for enhanced marketing, media, and customer experiences through a blend of consultancy and specialized technology services.As a key data and marketing pillar of the Brandtech Group, we provide services that integrate strategic consulting, cloud services, media consulting, and customer experience.With over 400 digital experts, including consultants, tracking and media specialists, engineers, and data scientists, we collaborate closely to deliver top-tier marketing advice and technical support to brands across various industries worldwide.We partner with advertisers from data collection to activation, helping organizations evolve into true omnichannel entities that master the efficiency of their digital ecosystems and their synergies with the physical world.Based 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 great importance on the well-being of its employees, which has earned us a spot on the Best Workplaces France ranking in 2018.We firmly believe that the workplace environment is crucial for employee well-being, and we strive to offer excellent working conditions to our Fifty Fivers. Humility, humor, and human qualities are shared values among all our team members!Your MissionsDepending on your profile, preferences, and current mission opportunities, you will join one of our teams dedicated to specific sectors (Automotive, Luxury, Retail, Entertainment, etc.). Integrated within a team of consultants of varying seniority levels and in collaboration with internal experts, you will support our clients on digital marketing-related challenges and participate in Web Analytics and/or Digital Media Mix missions:Data Collection:Assist our clients in implementing web analytics and media toolsGather data according to our clients' business needsEnsure the reliability and quality of collected dataData Analysis:Analyze users' digital journeys using collected data: CRO, customer experiencePropose solutions to our clients to meet their objectives (sales, lead generation, etc.)Participate in media attribution missions to understand the interaction of various marketing channels.
Rexel is looking for a Senior Business Analyst to join its Paris office. This role centers on supporting strategic projects and driving business performance by turning data into actionable insights. Key responsibilities Collaborate with teams from various departments to identify areas where processes or outcomes can improve Analyze business data to guide decision-making and back important projects Contribute to the rollout of solutions that align with Rexel’s objectives Location This position is based in Paris.
Join Pigment as an Expert Builder in the vibrant city of Paris! This exciting role involves leveraging your skills to create innovative solutions and drive impactful projects. You will work closely with cross-functional teams to design, implement, and optimize systems that enhance our offerings. If you're passionate about building and thrive in a dynamic environment, we want to hear from you!
Join Wavestone as an Analytics Engineer Consultant specializing in the luxurious retail and hospitality sectors. In this dynamic role, you will harness the power of data analytics to drive decision-making and enhance customer experiences.You will work closely with clients to transform their data into actionable insights, leveraging advanced analytics tools and methodologies. Your expertise will help our clients optimize their operations and deliver exceptional service in an ever-evolving market.
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.
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 Our TeamThe Technical Success team plays a pivotal role in facilitating the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. Acting as trusted advisors, we empower our clients to fully leverage the capabilities of our models and products. As a Solutions Engineer, you will assist businesses across various sectors in transforming their operations through innovative solutions, including customer service automation, content generation, and cutting-edge applications utilizing our latest models.About the RoleWe are in search of a seasoned pre-sales Solutions Engineer to collaborate with our Large Enterprise and Digital Native clients, ensuring they derive tangible business value from our offerings through ChatGPT and the OpenAI API. You will engage with senior business stakeholders to understand their pre-sales requirements, shape their AI strategy, and pinpoint the most valuable use cases and applications. In this role, you will work alongside both business and technical teams to illustrate the advantages of our solutions, propose architectural frameworks, and support implementation and development processes. Your collaboration will extend to the Sales, Customer Success, Security, and Product teams.This position is based in our Paris office, where we embrace a hybrid work model, requiring three days in the office each week, and we offer relocation assistance for new hires.Key Responsibilities:Provide an exceptional pre-sales experience for prospects and customers by offering technical expertise, articulating the value proposition, and addressing inquiries related to our products, API, and large language models (LLMs).Showcase how ChatGPT and the OpenAI API can fulfill business needs and generate significant value, through demo presentations, use case scoping, architectural recommendations, and comprehensive technical advisement.Develop and maintain documentation, guides, and FAQs to address common inquiries and needs identified during the pre-sales engagement.Advocate for customers and communicate their feedback within internal teams, identifying common themes and integrating them into product development planning.Act as the primary resource for security and compliance inquiries, providing standardized materials, guiding customers to pertinent resources (e.g., trust portal), and escalating complex issues as necessary.
