Senior Management & Technology Consultant - AI & Process Analytics (Public Sector)

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 deci…

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.

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 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.

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.

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 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.

Join Wavestone as a Data, Analytics & AI Consultant, where you will be at the forefront of transforming data into actionable insights for luxury, retail, hospitality, and service sectors. This role offers a unique opportunity to work closely with clients, helping them leverage data analytics and artificial intelligence to enhance their business strategies. You will engage in projects that require a blend of analytical rigor and creative problem-solving, making a tangible impact in a dynamic and innovative environment.

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.

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 consulting and specialized technology services.As a key data and marketing pillar of the Brandtech Group, we provide services that integrate strategy consulting, cloud services, media consulting, and customer experience.With over 400 digital experts including consultants, tracking specialists, media professionals, engineers, and data scientists, we collaborate closely to deliver high-level marketing advice and technical support to brands across various industries worldwide.Partnering with advertisers from data collection to activation and utilization, we assist organizations in becoming true omnichannel entities, mastering the efficiency of their digital ecosystem and its synergies with the physical world.Based in Paris, we operate across three time zones from our ten offices in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. fifty-five places a strong emphasis on the well-being of its employees, which earned us a spot in the Best Workplaces France ranking in 2018.We firmly believe that the work environment is a key factor in employee well-being, and we are committed to providing excellent working conditions to our Fifty Fivers. Humility, a sense of humor, and human qualities are core values shared by all!The Context:As part of the consultancy team, you will actively engage in missions undertaken by fifty-five on behalf of our clients. These missions encompass challenges related to site conversion optimization and enhancing the performance of the digital media mix. Conversion is defined as the completion of a specific and measurable action.Key Responsibilities:Promote a new user-centric vision of digital marketing;Follow an action plan punctuated by various milestones;Ensure data accuracy;Guarantee the quality of deliverables sent to clients;Oversee the operational and technical implementation;Collaborate with the team to develop fifty-five's offerings, both in marketing and technical or operational aspects;Address challenges related to digital activity management using key performance indicators;Guide clients in optimizing website conversion rates;

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.

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!

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.

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 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)