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Experience Level
Entry Level
Qualifications
Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field. Strong analytical skills and experience with data manipulation tools. Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent problem-solving abilities and a keen attention to detail. Strong communication skills, both verbal and written.
About the job
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.
About nexton
nexton is a forward-thinking company specializing in data analytics and business intelligence solutions. Our mission is to empower organizations through insightful data strategies, innovative technologies, and a commitment to excellence. Based in Paris, we pride ourselves on fostering a collaborative and inclusive work environment.
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!
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)
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.
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.
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.
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 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 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.
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.
Apr 10, 2026
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