Business Analytics & Data Transformation Specialist

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

Role overview magellanpartners seeks a Senior Manager of Transformation Data to shape and lead data initiatives in the luxury retail sector. This Paris-based role centers on guiding efforts that use data to drive change and improvement across the business. What you will do Direct data analytics projects that inform strategic decisions throughout the company. Partner with teams from various departments to spot and act on opportunities for greater operational efficiency. Work together with colleagues to implement new solutions that advance business objectives. Requirements Extensive experience managing data-focused projects, preferably within luxury retail or a similar industry. Proven expertise in data analytics and a history of translating insights into measurable business outcomes. Ability to collaborate with cross-functional teams and lead transformation efforts.

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

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

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.

ABOUT USAt MARGO, our consultants tackle meaningful challenges through complex projects that blend intellectual rigor with real business impact.We support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.WHY JOIN THE CLOUD TRANSFORMATION PRACTICE?You will work within a team guided by a dedicated Practice Manager at MARGO, who is also deployed at one of our client sites.Collaborating with them means joining a passionate team of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.YOUR RESPONSIBILITIESWe are currently seeking a Data Engineer to work with one of our clients in the energy sector within a cross-functional data team. This role encompasses various use cases arising from different departments (trading, data, HR, etc.).Your primary task will be to provide the foundational IT and Data components that serve all teams.In practical terms, our team is looking for Data Engineers and Data profiles capable of contributing to these impactful cross-functional projects.Main Responsibilities:- Support other teams in their data/AI projects- Engage in cross-functional interventions to accelerate and industrialize use cases- Deploy and launch data/AI projects into production- Work with modern technologies and enhance skills in AWS cloud- Make a direct impact on concrete topics such as energy transition, energy mix, and ecology—subjects that matter- Work alongside high-caliber colleagues (high seniority level)- Focus on continuous optimization- Handle large volumes and diverse data sets- Participate in a significant DATA transformationWHAT WE ARE LOOKING FORWe are looking for demanding engineers and data engineers who are passionate about technology and eager to thrive in complex environments.- Graduated from an engineering school or a Master's degree (Bac +5);- Proficient in Python, PySpark, Scala, AWS, Databricks, and SQL- Good command of English to operate in an international environment.WHAT WE OFFER- Ambitious and varied projects, always selected for their added value;- Close support from recognized experts;- ...

About the Internship Doctolib is hiring a Business Data Analyst intern for July 2026 in Paris. This role supports data-driven decisions that help improve healthcare services. The internship offers hands-on experience working with large datasets and real-world projects that affect patient care. What You Will Do Work with teams across the company to support business goals Analyze and interpret complex data sets Contribute to projects that aim to improve patient experience and healthcare outcomes Location Paris, Paris, France

Join Magellan Partners as a Consultant or Manager specializing in Transformation IA & Data. In this dynamic role, you will lead innovative projects that harness the power of artificial intelligence and data transformation to drive business success. You will collaborate with cross-functional teams to design and implement solutions that meet client needs and exceed expectations. If you are passionate about data-driven decision-making and eager to make a significant impact, we want to hear from you.

Join Wavestone as a Digital Transformation Consultant specializing in Data and Artificial Intelligence within the Banking and Insurance sectors. In this exciting role, you will work closely with clients to design and implement innovative digital strategies that leverage data analytics and AI technologies to enhance business performance and drive transformation.

Are you ready to join the leading fintech in financial placement, credit, and insurance, where innovation, growth, and exciting projects are part of daily life? If so, this opportunity is tailored for you!Become a pivotal member of the Data & AI team and drive the transformational journey of the Meilleurtaux Group!Your mission is to systematically eliminate all low-value tasks across Meilleurtaux’s processes by implementing increasingly sophisticated agents, allowing teams to focus on critical areas such as client intimacy in a commercial setting and enhancing service quality within back-office contexts.You will thrive in a hybrid environment where expert AIs are deployed according to various strategies (one per business area: make, setup, buy) and where non-expert 'off-the-shelf' tools (like Gemini Enterprise, ChatGPT Enterprise, or Delos) expedite the transformation process.Your Responsibilities AI for Productivity:Oversee the deployment of off-the-shelf solutions for Meilleurtaux, prioritizing operational efficiency, starting with Delos for the Placement teams (currently in adoption with four initial use cases identified) to ensure operational teams benefit from generative AI even before expert systems are built.Foster synergies among teams utilizing these solutions to share best practices.Engage champions within the group who will advocate for these generic tools.Agent Development:Starting within the AI squad of the Placement teams (customizing Agentforce with strong support from Salesforce), assist in the construction and growth of agents leveraging your expertise.Agentic Transformation:Embodiment of the strategy to assist Product Managers in prioritizing their projects on expert AIs while balancing needs with generic AIs.A dynamic position where your skills and ideas truly make an impact.

Role overview Celonis seeks a Client Engagement Partner in Paris to guide organizations as they use AI and process intelligence to improve business operations. This position focuses on supporting clients through digital transformation, helping them identify opportunities to boost performance by combining data and technology. What you will do Work closely with clients to understand their goals, challenges, and business needs Develop and deliver solutions that apply AI and process intelligence to real-world problems Build strong, lasting relationships with clients, emphasizing long-term partnership Translate complex technical concepts into clear, accessible language for diverse audiences Assist organizations as they implement new digital tools and adapt to new ways of working What helps in this role Background working with clients in a consultative or partnership-based setting Skill in explaining technical ideas in straightforward, understandable terms Interest in AI, process intelligence, and digital transformation initiatives Location: Paris, France

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.

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.

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.

Role overview The Consultant - Analytics Engineer position at sia in Paris centers on transforming data into practical insights for clients. This role involves working closely with professionals from different backgrounds to understand specific business issues and help shape effective solutions. The main goal is to support organizations in making better decisions and improving their operations. What you will do Analyze data to identify trends and provide guidance for client strategies Collaborate with teams across various functions to clarify business requirements Design and implement solutions that enhance efficiency and organizational performance

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

Celonis seeks a Client Value Partner in Paris, France, to guide clients through AI-driven transformation and process intelligence initiatives. This position blends direct collaboration with client stakeholders and hands-on work with internal teams, focusing on measurable operational improvements. Key responsibilities Lead projects that apply AI to transform client operations and deliver tangible results Partner with internal teams to design and implement solutions for process optimization Engage with client stakeholders to understand business needs and operational challenges Develop tailored strategies that use AI technologies to enhance business processes Apply data analytics and industry knowledge to identify opportunities for operational improvement Requirements Background in process optimization and data analytics Experience collaborating across teams and communicating with stakeholders at all levels Strong analytical skills and familiarity with AI technologies Understanding of how technology and process change drive business outcomes

Join Skello as an Analytics Engineer, where you will play a crucial role in transforming data into actionable insights. Your expertise will help shape data-driven decision-making across the organization. You will work collaboratively with cross-functional teams to develop and maintain data pipelines, ensuring the accuracy and accessibility of data.

Join Polar Analytics: The Premier Data Platform for Consumer Brands ‍At Polar Analytics, we transform complex data into actionable insights, empowering brands to make informed decisions swiftly and efficiently. Our platform is powerful yet accessible, providing DTC brands with the analytics they need to achieve scalable profitability. Our mission is clear: we aim to accelerate the growth of independent DTC brands—enabling them to compete effectively and profitably.Why Choose Polar Analytics? 4,000+ Brands and CountingWe’ve expanded to over 4,000 active merchants as of January 2025, with plans to reach 10,000+ within this year. Revolutionizing AnalyticsPolar is redefining the Shopify analytics landscape through innovative data infrastructure designed for seamless orchestration—placing us at the leading edge of AI-powered commerce automation. Supported by Top-Tier InvestorsWe have successfully raised $28.5M from prestigious investors like Frst, Point9, and Chalfen Ventures, recognized for identifying future industry leaders early. A Team of eCommerce & Data InnovatorsOur diverse team comprises seasoned professionals from leading eCommerce SaaS platforms and Silicon Valley data powerhouses, all united by a common goal: to forge the next industry leader.About UsWe are developing a cutting-edge data & AI operating system tailored for eCommerce—think of it as Datadog for retail.Our work involves processing and refining complex Shopify, advertising, and retention data, making it reliable and actionable for teams.We are seeking engineers who desire real ownership and impact.Your RoleIn this role, you will be engaged with core systems including data pipelines, semantic layers, AI evaluation, and experimentation tools that are vital for thousands of merchants daily.This is not a conventional ticket-taking position. You will:Take ownership of challenges from design through to productionSolve complex infrastructure issues (handling petabytes of data, near real-time processing, and high reliability)