Avec plus de 130 clients actifs et un chiffre d’affaires de plus de 83M€ en 2024, nous accompagnons les acteurs majeurs de secteurs exigeants : santé, énergie, retail, banque, assurance…

Notre présence s’étend en IDF, Lille, Lyon, Bordeaux, Évreux, Bruxelles et Lausanne, et nous nous appuyons sur 10 pôles d’expertise couvrant toute la chaîne de valeur IT :

• Gestion de projets
• Sécurité de l’information
• Qualité & Validation GxP
• Affaires réglementaires
• Affaires cliniques
• Informatique industrielle

Découvrez-nous : https://www.infogene.fr

• Concevoir et développer des modèles de données robustes et évolutifs.
• Construire et maintenir des pipelines de transformation de données via dbt.
• Participer à l'évolution de l'architecture analytique et des Data Products.
• Produire des indicateurs et tableaux de bord à forte valeur ajoutée sous Power BI.
• Garantir la cohérence et la fiabilité des modèles de données.

• Mettre en place et maintenir les contrôles de qualité des données.
• Assurer l'exactitude, la traçabilité et la documentation des transformations.
• Garantir la conformité des développements avec les standards Data et les bonnes pratiques.

• Assurer le maintien en conditions opérationnelles des solutions analytiques.
• Réaliser les investigations nécessaires lors d'anomalies ou incidents.
• Identifier les axes d'amélioration et proposer des optimisations techniques et fonctionnelles.
• Participer activement à l'amélioration continue des processus et outils Data.

• Recueillir, comprendre et challenger les besoins exprimés par les métiers.
• Accompagner les Product Owners dans la définition des solutions analytiques.
• Être un interlocuteur privilégié des parties prenantes sur les problématiques Data.
• Faciliter la prise de décision grâce à des analyses fiables et exploitables.

• Transformation et structuration des données
• Analyse de données avancée
• Architecture Data & Analytics
• Maintenance, support et exploitation de solutions analytiques
• Gestion et évolution de Data Products
• Investigation et résolution de problèmes complexes

• Minimum 5 années d'expérience dans un environnement Data.
• Une expérience de niveau Senior, Lead ou N3 est fortement appréciée.
• Expérience significative sur des projets Analytics Engineering en production.

• Forte autonomie dans la conduite des sujets.
• Sens des responsabilités et de l'engagement.
• Capacité à prendre des décisions et à porter ses recommandations.

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The Economics Department (ECO) leads co-ordinated, innovative, international action with respect to the OECD’s work on economic policy, both international and domestic. The Department implements the priorities of the Programme of Work and Budget (PWB) set by Member Countries and the Secretary-General in its area of business.

TheEconomics Department aims at enhancing economic performance in Member and non-Member countries through sound and innovative policy advice with a view to seeking an inclusive and durable increase in living standards. It deals with a wide array of policy areas combining macro-economic management, with a strong emphasis on structural policy issues to address policy objectives covering material well-being, social concerns and green aspirations. Its policy advice is derived from a variety of sources such as country surveillance, cross-country benchmarking and evidence derived from empirical research. Much of the Economics Department’s policy analysis and advice is provided as input to committee-based peer review and multilateral surveillance processes and contributes to the overall OECD mission. The Economics Department interacts with several other OECD directorates working in specific policy fields.

The Economics Department is launching a pooled recruitment campaign for Statisticians to cover the full cycle of statistical activities from data collection, data management and analysis, to data dissemination for specific statistical subject matters.

Job Description Main Responsibilities

Data collection and dataset management

• Gather data from OECD member and non-member countries, develop and implement innovative and efficient approaches to data collection, including the use of digital data sources, automated data collection and data transfer solutions and AI-assisted methods where appropriate.
• Convert national data collected from countries into specific OECD formats, including data manipulation and various other analytical calculations, using efficient, reproducible and increasingly automated data-processing workflows.
• Verify the accuracy, coherence, quality and internal consistency of the data and metadata using appropriate validation procedures, automated quality checks and other modern data-quality tools.
• Manage statistical databases covering the range of statistical activities relevant to the work area, ensuring that data are well structured, documented, accessible and fit for analytical and dissemination purposes.
• Update and maintain the international comparability of data including methodological changes (e.g. when new international definitions are introduced), and research new data and data sources to expand the database coverage, including non-traditional and emerging sources where relevant.
• Build and maintain contacts with statistical staff in national and other international statistical agencies, with a view to improving data coverage, relevance and availability of methodological information, data transfer and timeliness.
• Keep abreast of the work of other international and national organisations (e.g. UN, Eurostat, the World Bank) on topics relevant to the Department’s statistical work, as well as developments in statistical standards, data technologies and emerging sources of data.

Analysis, methodology, drafting, documentation and presentation

• Use advanced and innovative statistical and analytical methods to analyse data with the objective of reporting on the main findings, using individual country level or cross-country data.
• Participate in the drafting and production of statistical and analytical publications and/or reports.
• Develop clear, accurate and compelling charts to communicate statistical findings and analytical results effectively to technical and non-technical audiences and present complex data in an accessible and policy-relevant manner.
• Contribute to improving the design of questionnaires in order to extend data coverage, enhance their relevance and improve the availability of methodological information, data transfer and timeliness, including by considering opportunities for digital data collection and alternative sources of information.
• Develop suitable data solutions to support ECO’s policy research and economic analysis, including integrated datasets, analytical tools and reproducible data pipelines where appropriate.
• Respond to the changing needs of users by contributing to statistical development work.
• Develop and maintain clear documentation on work procedures covering all aspects of the production cycle and all aspects of the national data (e.g. methodologies)

IT work and other tasks

• Develop and adapt computer programmes and procedures in a variety of statistical packages (e.g. R, Python or STATA and other appropriate data-processing and analytical tools).
• Develop, maintain and improve reproducible and automated workflows for data collection, processing, validation, analysis and dissemination, making effective use of modern programming and data-management technologies.
• Assist in the preparation of data files used in the dissemination of data (e.g. OECD Data Explorer, CSV) and in establishing the layout of documents and publications.
• Carry out statistical work in support of the wider analytical work of the directorate.

Qualifications

Academic Background

• Advanced university degree or equivalent, preferably in statistics, economics, mathematics, engineering or a scientific field and a good knowledge of statistical databases and information technology (including basic programming).

Professional Background

• Experience in the production and/or use of statistics including documentation on sources, definitions, coverage, methodology, reliability and comparability gained in an international or national statistical office.
• Experience in the analysis of complex macro-and micro-level datasets and/or knowledge of other key areas of work such as trade, health, energy, education, environment, national accounts, transport, or other key areas of OECD work would be an advantage.
• Experience in statistical concepts and in presenting statistical analysis to non-technical audiences.
• Experience in applied econometric techniques would be an asset.

Tools

• Excellent command of Microsoft Office software, especially Excel (including macros and pivot tables).
• Good command of R, Python and STATA, is highly desirable. Proficiency in MatLab would also be welcome, and knowledge of other programming language such as Eviews and VBA would also be useful.
• Experience using AI tools for research and programming is desirable.
• Good knowledge of large statistical databases and practical experience with statistical software to manage those databases. Solid experience working with private-sector databases (e.g. Thomson Reuters, Bloomberg, CEIC) and database design would be an advantage.

Core Competencies

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 1); Collaboration and Horizontality (Level 1); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
• To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies .

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
• Knowledge of other languages would be an asset.

Additional Information Closing Date

• This vacancy should be filled as soon as possible, and applications should reach us no later than23:59 on 20October 2026(CEST).

Contract Duration

• This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions. The appointment type will be determined based on the needs of the Directorate and will be confirmed when an offer of employment is made to the selected candidate.
• Please note that, in accordance with the OECD’s Staff Regulations, Rules and Instructions, the mandatory retirement age is 67.

What the OECD offers

• Monthly salary starts at 5279EUR, plus allowances based on eligibility, exempt of French income tax.

Selection Process

• For retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.
• Candidates may be considered suitable (cleared) at the advertised grade or at a lower grade, based on their qualifications and professional experience.
• This vacancy willbe used to fill multiple positions.Please note that the appointment may be made at one grade below their clearance level, based on business needs.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries , irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.

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We’re looking for a Data Analyst Lead to own analytics across our growth and product surface areas. You’ll partner closely with growth marketing, product, engineering, and leadership to define success metrics, reconcile data across systems, and turn messy inputs into clear, trusted insights.

This role is both hands‑on and strategic: you’ll build analysis yourself while setting standards for how data is defined.

• Own end‑to‑end analytics for growth initiatives across acquisition, activation, retention, and experimentation.

• Partner deeply with growth marketing teams operating at scale to measure channel performance, attribution, funnels, and cohort behaviour.

• Reconcile and validate data across multiple sources (e.g. marketing platforms, analytics tools, internal systems) to establish a reliable source of truth.

• Design, build, and maintain dashboards and reporting that drive both day‑to‑day decisions and long‑term strategy.

• Define and standardise core metrics, naming conventions, and data definitions used across teams.

• Lead complex analyses including funnel analysis, cohort analysis, experiment evaluation, and trend investigation.

• Translate ambiguous questions into structured analyses and communicate insights clearly to both technical and non‑technical stakeholders.

• Mentor and guide other analysts as the team grows, raising the bar for analytical rigor, clarity, and impact.

• 5+ years of experience in data analytics, business intelligence, or a related role.

• Significant experience partnering with growth marketing teams at scale (paid, organic, lifecycle, or multi‑channel growth).

• Strong SQL skills and comfort working directly with large, imperfect datasets.

• Proven experience reconciling data across multiple tools and platforms, and identifying discrepancies, gaps, and data quality issues.

• Fluency with BI and analytics tools (e.g. Looker, Tableau, Mode, Amplitude, GA, or similar).

• Ability to independently scope projects, prioritize work, and drive analyses from question to insight.

• Clear written and verbal communication skills, especially when presenting findings to leadership.

• Comfort operating in a fast‑moving environment with evolving priorities and minimal bureaucracy.

• Experience designing or evaluating attribution models.

• Background in consumer products, media, or high‑growth technology companies.

• Experience building or influencing analytics infrastructure and instrumentation decisions., trusted, and used across the company.

To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week.

We wanted to make sure coming to the office was as comfortable as possible for you:

• We chose a location in central Paris, near Opera (Metro lines 3,8,9 and RER A).

• We have a beautiful Parisian‑style office with high ceilings, balconies, and huge windows. So a lot of natural light!

Because life outside of work should also be stress‑free, we cover:

• Health care (100% coverage).

• Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%).

• Vacation days: 8‑9 weeks (total) per year - (European summer? 🥹😎).

  • 5 weeks of paid time off (by the state);

  • 1‑2 additional weeks (RTT, based on our company contract);

  • ~11 bank holidays.

  • We shut down entirely twice a year, two weeks in summer and one week in winter to allow everyone to truly recharge and to avoid prolonged slowdowns (especially in the summer). These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO.

We love the diverse perspectives we get from having people from all over the world join us (68% of our team is international), and so we of course support relocation to Paris with:

• Help and sponsored visa process.

• 1 month of Airbnb 100% covered by amo upon arrival.

• Assistance from a trusted relocation agency to find your permanent home.

• Help with french paperwork like opening a french social security account, tax forms, getting your carte vitale (free healthcare) and more.

• French lessons to be fully set with your new Parisian life.

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Envu brings together a broad range of perspectives to look beyond chemistry and dare to explore new paths forward. Guided by our inclusive culture, we embrace change and flexibility, tackling our customers’ toughest challenges proactively, passionately and with an entrepreneurial spirit.

We pursue our ambitions collaboratively because we know that a unified and empowered team is an unstoppable force, allowing us to achieve our vision of healthy environments for everyone, everywhere. Join Us.

Envu is proud to be certified as a Top Employer 2026 in France and the United States

FUNCTION: CFO

LOCATION: Lyon, France

JOB TYPE: Permanent

JOB GRADE: 6

GET TO KNOW YOUR AREA:

• Join the Finance Data Analytics team to enhance data analysis and visualization tools to drive financial strategy, enhance forecasting accuracy, and provide critical insights that support key business decisions.
• Focus on leveraging the capabilities of our Azure Data lake, Databricks and the Microsoft Power Platform (Power BI, PowerApps, and Power Automate) to enhance our reports, process automation, and custom business applications.
• Provide dedicated support to the Marketing team by developing and maintaining reporting solutions, translating business needs into data-driven insights, and acting as a strategic business partner to support decision-making and performance management.

YOUR MISSION WILL BE TO:

• Design, develop and maintain complex Power BI dashboards for decision-making while taking into account the needs from the different stakeholders (Finance, Business, Marketing…).
• Build and maintain data pipelines and transformation workflows using Python, SQL and Databricks (notebooks, workflows, applications…) to industrialize data processing.
• Perform data modeling, transformation and analytics using Python, SQL and DAX.
• Continuously evaluate and improve existing processes and systems using insights derived from data analysis and automation projects.
• Develop custom business applications using Databricks, integrating with various data sources and APIs to fulfill unique business requirements.
• Actively contributing to the expertise level and competencies of the Finance Data & Analytics team
• Collaborate with other departments to identify opportunities for process improvement and automation in reporting workflows.

ARE YOU READY FOR THE ROLE?Main requirements:

• Master's degree in a relevant field such as Computer Science, Statistics, or Data Analytics. Experience in Finance or Marketing is a strong plus.
• Minimum of 5 years of experience in a data analyst role, with a proven experience in data modelling and data visualization.
• Experience in writing scripts, and queries using Python and SQL.
• Expertise in Databricks is a strong plus.
• Experience leveraging GenAI tools (e.g., Microsoft Copilot in Fabric/Power BI, Databricks AI/BI Genie, Claude) to accelerate data exploration and reporting is a plus
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

Envu is committed to creating an inclusive environment for all employees and applicants, regardless of ethnicity, color, race, religion, origin, age, gender, gender identity or expression, sexual orientation, or other conditions. And all opportunities are open to people with disabilities.

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Every decision we make — from game design to monetization — should be grounded in player data. That’s where you come in.

We’re looking for a Lead Data Analyst to build the foundation of our data practice, lead a small analytics team, and turn raw player behavior into insights that drive features, optimize performance, and fuel growth. You’ll work cross-functionally with design, product, marketing, and live ops to ensure we’re not just making games — we’re making the right ones.

This is a leadership role for someone who thrives on autonomy, strategic thinking, and getting their hands dirty in the data.

Own end-to-end analytics strategy across multiple titles

Build, manage, and mentor a team of analysts focused on product, player, and monetization data

Define KPIs and success metrics for game health, engagement, and revenue

Develop and maintain dashboards and reporting tools for internal teams

Collaborate with game designers and PMs to support feature design and balancing

Translate complex data into clear, actionable insights for stakeholders at all levels

Champion a data-first culture across product, design, and leadership

5+ years in data analytics or product analytics, ideally in gaming or mobile tech

Proven leadership experience — team lead, senior IC with mentorship, or similar

Fluent in SQL, and skilled in tools like Tableau, Looker, or Power BI

Strong understanding of F2P gaming metrics (retention, LTV, churn, ARPU, etc.)

Experience working directly with product, live ops, or monetization teams

Strong communication skills — able to tailor messaging to execs, designers, and devs

Comfortable driving analytics priorities in a fast-moving environment

Experience with mobile analytics tools (e.g., Amplitude, Firebase, GameAnalytics)

Knowledge of A/B testing, cohort analysis, and statistical rigor

Familiarity with Python or R for deeper analysis

Past experience scaling data practices in a startup or growth-stage game studio

Background in behavioral science, marketing analytics, or user segmentation

Work on high-impact games played by millions

Help define the analytics culture from the ground up

Flat structure, fast decisions, and space to innovate

Competitive salary, equity, and bonus plans tied to studio performance

Flexible location and hours — remote-first by design

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Responsabilités principales:

• Analyser et exploiter les données afin de répondre aux besoins des équipes Finance, Supply Chain et Purchasing
• Travailler sur le suivi et l’optimisation des données liées à l’Inventory Tracking & Optimization, notamment les KPI tels que la valeur des stocks et le DIO
• Contribuer au développement et à l’amélioration des reportings et dashboards BI, notamment sur les sujets Transport Costs Management et Freight P&L
• Traduire les besoins métier en user stories, spécifications fonctionnelles/techniques et tâches de développement claires pour les équipes IT / Development Factory
• Réaliser le data mapping, participer à la modélisation des données et travailler sur des concepts de Data Warehouse / Star Schema / modèles multidimensionnels
• Effectuer la validation des données, les contrôles de qualité et le support aux UAT, en identifiant et résolvant les anomalies de données ou de modélisation

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Et si vos modèles prédictifs permettaient d'accélérer la transition écologique ?

Chez Ecomaison, nous croyons que la Data est un levier stratégique. Pas seulement pour expliquer le passé, mais pour anticiper les marchés de nos adhérents, éclairer les décisions et accompagner la transformation de l'économie circulaire.

Pour renforcer notre équipe Data, nous recrutons un.e Lead Data Analyste qui aura un rôle clé dans le développement de nos capacités d'analyse, de prévision et de Data Science.

Vous piloterez des projets Data stratégiques pour l'entreprise et en manageant une petite équipe (Data Analyste et Développeur BI).

Vous serez notamment amené.e à :

• Développer des modèles de forecasting et des scénarios prospectifs pour anticiper l'évolution des marchés de nos adhérents.
• Concevoir des approches de Machine Learning, statistiques ou IA pour détecter anomalies, tendances et incohérences dans les données.
• Créer de nouveaux indicateurs autour de l'économie circulaire, de l'éco-conception et de l'éco-modulation.
• Enrichir la connaissance de nos adhérents en croisant données internes et externes.
• Animer la gouvernance des données et contribuer à diffuser une véritable culture Data dans l'entreprise.
• Accompagner les métiers dans leurs décisions grâce à des analyses à forte valeur ajoutée.

Vous avez 6 à 8 ans d'expérience en Data Analytics, Data Science ou BI et maîtrisez SQL, Python et un environnement Cloud (idéalement GCP).

Vous aimez autant construire des modèles que dialoguer avec les métiers, porter des projets et transformer les données en décisions.

Parce que vous travaillerez sur des sujets à fort impact, au croisement de la Data, de la stratégie et de la transition écologique.

Vous intégrerez une entreprise à taille humaine, en forte croissance, où la Data est reconnue comme un véritable moteur de transformation et où vous aurez la liberté d'expérimenter, d'innover et de faire bouger les lignes.

Chez Ecomaison, nous recrutons des personnes qui aiment construire, expérimenter et avoir un impact. Si c'est votre état d'esprit, rencontrons-nous !

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We are everywhere in your daily life and you don’t see it ! With our entity Air Liquide France Industrie, we participate of our customer's innovative development applications : the bubbles of your soda, the chip of your smartphone or the reduction of polluting emissions.

Air Liquide France Industrie brings together the production and marketing of industrial gases in France with four complementary business lines : Large Industry, Industrial Merchant, Electronics and Hydrogen. The subsidiary has 2,400 employees at 58 sites across the country and serves more than 200,000 customers, from the artisan to petrochemical manufacturers, from analytical laboratories to semiconductors and metallurgy.

The HR Data Analyst & Performance Manager, has a strong role to play in supporting all organizational changes for Industry within the Cluster SWE.

Regarding PEX control & organization effectiveness, and in close coordination with HR & ops control teams, the main focus is to:

• follow, anticipate and analyse headcount and PEX evolution at the Cluster SWE
• contribute to a strong governance regarding headcount & PEX management (hiring control, salary increase assumptions…)
• ensure the proper deployment and use of the Group job Catalogue to simplify the monitoring & development of organisational structures
• develop Organization Effectiveness Mindset (trainings for HR and business leaders) and support crafting simple, readable and effective organizations to foster our business performances
• ensure organizational fundamentals (span, layers…) are well deployed in every organization
• provide advice in terms of Organizational Design for major transformation projects and local initiatives
• secure the availability of high quality HR data (including but not limited to myHR data) to develop performing organizational schemes and contribute to an efficient and relevant communication with group’s stakeholders regarding HR data for the Cluster
• support some specific reportings & programs (gender diversity, support to the AI acceleration program for instance)

Regarding the performance of the HR function, the main focus is on continuously optimizing the quality of service, with the support of AI tools, what is done and how it is done by:

• analyzing the current performance of the HR function serving the Cluster SWE and identifying improvement areas
• optimizing high-volume administrative tasks and prioritizing streamlining payroll & HR processes to focus on value creation,
• ensuring HR Teams integrate the new practices of an efficient operating model harmonized across countries and regions and apply documented HR Standards on selected core procedures to raise the consistency of our HR service quality
• supporting, in coordination with entity HRs, HR BSCs, HR COEs, HR corporate functions, the implementation of required changes in order to comply with the new HR Target Operating Model

The HR Data Analyst & Performance Manager will work closely with HR professionals of the Group (counterparts in other clusters/GBU/functions, HR COEs, HRDs & HRBPs) but also other support functions like finance and will partner with Cluster leaders to better develop and deploy Organizational Design programs.

• Master degree with major in economics or similar
• 8-10 years relevant work experience, ideally in similar business organization or in HR
• Significant experience in a large, international and matrix organizations

• Strong analytical thinking
• Meticulous and organized approach to work
• Expertise in controlling, data manipulation and visualization
• Strong influential leadership skills
• Capability to navigate and work effectively across all levels in the organization
• Thinking and partnering strategically
• Strong interpersonal skills and ability to build trusting relationships with diverse counterparts
• Solution oriented
• Result oriented and ability to work in a fast-paced environment
• Continuous improvement spirit

• Fluent professional French & English , another language is a + (Spanish or Italian)

At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.

We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

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Vous produirez des indicateurs et tableaux de bord sous Power BI, garantirez la qualité et la traçabilité des données, et travaillerez avec les métiers pour définir des solutions analytiques.

Profil Senior/Lead, au moins 5 ans dans un environnement Data, autonomie et sens des responsabilités exigés.

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Le candidat idéal possède 6 à 8 ans d'expérience en Data Analytics, Data Science ou BI et maîtrise SQL, Python et un environnement Cloud (idéalement GCP).

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