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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.
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 mainta…
Join Talan as a Senior Data Engineer specializing in Snowflake, where you'll play a vital role in our innovative data projects. We are looking for a passionate individual who thrives in a dynamic environment and is eager to contribute to our engineering and development team. You will be responsible for designing, implementing, and maintaining robust data pipelines and architectures, ensuring data integrity and availability.
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.
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 dev2 as a Manager of Data Engineering and lead our innovative data engineering team. In this pivotal role, you will leverage your expertise in Python, AWS, Airflow, and Snowflake to design and implement robust data solutions that enhance our operational capabilities.As a key member of our leadership, you will be responsible for driving the strategic vision of our data engineering initiatives, mentoring a talented team, and collaborating with cross-functional partners to ensure data integrity and availability. This hybrid position offers the flexibility of remote work combined with the dynamic environment of our Paris office.
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.
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 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.
Founded in 2007, Airbnb began with two hosts welcoming three guests into their San Francisco home, and has since flourished into a community of over 5 million hosts who have facilitated over 2 billion guest arrivals across nearly every country worldwide. Each day, hosts provide distinctive stays and experiences, enabling guests to connect more authentically with local communities.Join Our Community:As a frontrunner in the travel and hospitality sector, Airbnb's mission is to cultivate a world where anyone can feel a sense of belonging anywhere. We provide exceptional accommodations and experiences, meticulously crafted by locals. As we venture into new marketplaces for in-person experiences and services, we seek dynamic and innovative individuals to help steer our growth trajectory.Your Impact:This position in Advanced Analytics will spearhead initiatives aimed at defining our international growth strategy. You will be responsible for measurement, tool development, and insights generation utilizing a comprehensive array of internal and external data sources to guide the business in making informed strategic and tactical decisions.The ideal candidate possesses a robust background in data and analytics. You are curious, engaged, positive, and detail-oriented with a strong focus on solution development. As the industry rapidly evolves, you should be adaptable and responsive to shifting priorities and reporting needs.This role requires high collaboration, engaging regularly with diverse stakeholders and cross-functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.The successful candidate will be recognized as a leader in the data and analytics domain at this level, with a proven history of employing various strategies and disciplines to tackle complex and ambiguous measurement challenges for business teams. You will leverage your expertise in data storytelling to influence large-scale strategic initiatives and adeptly utilize AI technologies to enhance your craft.Comfort in a global corporate environment is essential, as you will provide counsel and guidance to senior leadership. The ideal candidate will have substantial experience in fostering internal advocacy and influencing multiple senior stakeholders on complex topics.
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.
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!
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 dynamic team at Celonis as a Senior Management & Technology Consultant specializing in AI and Process Analytics within the Public Sector. You will leverage advanced technologies to optimize processes and drive efficiency in government operations. Your expertise will help public organizations harness the power of data-driven insights to enhance their service delivery and operational performance.
Reference: FEQ227R177 About Databricks Databricks builds a unified platform for data science and analytics, aiming to make data-driven decision-making accessible to everyone. The company focuses on creating tools that help organizations turn data into practical strategies. With a strong emphasis on customer needs, Databricks encourages experimentation and continuous improvement in how data is used. Role Overview The Senior Solutions Engineer in Paris will work closely with clients to show how the Databricks Data and Intelligence Platform can solve complex data challenges. This role involves applying technical expertise to demonstrate real-world solutions, helping organizations use data more effectively. What You Will Do Work directly with clients to understand their data challenges and objectives. Showcase how Databricks tools can address specific business needs. Develop and present tailored solutions that help clients achieve their goals. Support a team focused on innovation and customer success. Location This position is based in Paris, France.
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.
Role Overview Talan is looking for an SAP BI / EPM Expert with a focus on SAP Analytics Cloud to join the team in Paris. This position centers on turning complex data into clear, actionable insights for business stakeholders. The role requires deep experience in Business Intelligence and Enterprise Performance Management, especially within the SAP ecosystem. What You Will Do Work with SAP Analytics Cloud to deliver data-driven solutions Translate business needs into effective BI and EPM strategies Collaborate with teams to ensure data supports decision-making Location Based in Paris.
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.
