WHIZE

About the Company

Crée en 2022, WHIZE est une filiale du groupe Neurones spécialisée dans :
Le développement de solutions sur mesure en architecture Serverless (Azure, AWS, GCP)
Le déploiement de solutions décisionnelles grâce à notre offre Data Intelligence

Chez WHIZE, nos collaborateurs sont notre ressource la plus précieuse et sont la clé du succès de nos projets pour nos clients. Notre politique RH se caractérise par une écoute attentive, une bienveillance constante et un suivi personnalisé, mettant ainsi en avant nos valeurs essentielles.

Listed Jobs

Company Name

WHIZE

Job Title

Consultant BI / Alteryx

Job Description

Job Title: Consultant BI / Alteryx Role Summary: Consultant to design, develop, and optimize Alteryx workflows for data integration, transformation, and automation, supporting end‑to‑end BI solutions across diverse data sources. Expectations: - Deliver high‑value data transformation projects. - Maintain data quality, governance, and performance standards. - Industrialize data pipelines and document processes. - Provide training and ongoing user support. Key Responsibilities: 1. Gather and analyze business and technical requirements from stakeholders. 2. Design, build, and tune Alteryx Designer workflows for data integration, preparation, blending, and automation. 3. Connect to heterogeneous data sources – SQL databases, flat files, APIs, ERP, CRM, etc. 4. Implement data quality rules, metadata management, and governance controls. 5. Optimize workflow performance to reduce processing times. 6. Document and standardize data pipelines for maintainability and scalability. 7. Train end users on Alteryx usage and best practices. 8. Monitor industry trends and new Alteryx features to continuously improve solutions. Required Skills: - Proficiency in Alteryx Designer for data preparation, transformation, and workflow automation. - Advanced SQL skills and experience with relational database concepts. - Expertise in integrating multi‑source data and optimizing data flows. - Strong analytical, problem‑solving, and communication abilities. - Project ownership from raw data to business delivery. - Familiarity with Power BI, Tableau, or Azure Data Factory is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field. - Professional certification in Alteryx (Designer) or comparable BI platform preferred.

Île-de-france, France

Hybrid

05-12-2025

Company Name

WHIZE

Job Title

Consultant Dataiku

Job Description

Job Title: Dataiku Consultant Role Summary: Lead end-to-end data projects, from requirement gathering to operational deployment. Design, develop, and optimize Dataiku DSS workflows for data preparation, transformation, and automation. Enable analytics teams to transform raw data into actionable insights and Model-driven solutions. Expactations: Deliver high‑quality, reproducible data pipelines that meet business requirements. Demonstrate expertise in Dataiku and advanced SQL, ensuring governance, traceability, and performance. Collaborate cross‑functionally to shape data strategy and drive adoption within client teams. Key Responsibilities - Analyse business and technical needs and translate them into Dataiku solutions. - Build, test, and deploy robust workflows for data ingestion, cleaning, enrichment, and transformation. - Connect heterogeneous data sources (SQL, flat files, APIs, ERP/CRM) within the DSS environment. - Collaborate on machine‑learning model development and industrialisation via Dataiku. - Optimize pipeline performance, reduce processing times, and monitor resource usage. - Document pipelines, maintain version control, and ensure reproducibility. - Train end‑users on Dataiku features and best practices; provide ongoing support. Required Skills - Proven experience with Dataiku DSS (preparation, transformation, automation, ML). - Advanced SQL proficiency and solid understanding of relational database concepts. - Programming skills in Python or R for advanced data enrichment tasks. - Expertise in integrating multi‑source data and optimizing data flows. - End‑to‑end project delivery experience: from data collection to business delivery. - Strong analytical mindset, rigorous documentation, and service‑oriented attitude. Required Education & Certifications - Bachelor’s degree in Computer Science, Data Engineering, Business Intelligence, or related field. - Certifications in Dataiku, SQL, or Data Engineering are a plus.

Île-de-france, France

Hybrid

05-12-2025

Company Name

WHIZE

Job Title

Data Analyst Power BI

Job Description

Job title: Data Analyst – Power BI Role Summary: Provide analytics and data‑driven insights through Power BI dashboards, support strategic decision‑making, and promote a data‑centric culture across business units. Expectations: - Capture and translate business requirements into actionable BI solutions. - Deliver clear, interactive dashboards and reports that enable self‑service analytics. - Communicate findings with non‑technical stakeholders and recommend data‑driven actions. Key Responsibilities: 1. Gather and analyze stakeholder needs and define key performance indicators (KPIs). 2. Clean, transform, and prepare data using Power Query, ensuring data quality and reliability. 3. Design, develop, and publish powerful, visually impactful Power BI dashboards and reports. 4. Conduct deep data analysis to uncover trends, correlations, and anomalies. 5. Provide actionable insights and concrete recommendations to management. 6. Train and support user teams on dashboard use, data interpretation, and autonomous exploration. 7. Champion data‑driven decision‑making culture within the organization. Required Skills: - Proficiency in Power BI, Power Query, and DAX. - Strong SQL skills for data extraction and preparation. - Advanced data analysis and interpretation capabilities. - Effective data storytelling and ability to simplify complex results. - Excellent interpersonal and collaborative skills. Required Education & Certifications: - Bachelor’s degree (or higher) in Data Analytics, Computer Science, Statistics, Information Systems, or a related field. - Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus.

Neuilly-sur-seine, France

Hybrid

05-12-2025

Company Name

WHIZE

Job Title

Machine Learning Engineer

Job Description

**Job title:** Machine Learning Engineer **Role Summary:** Design, build, and deploy machine‑learning solutions on serverless cloud platforms (AWS or Azure). Deliver predictive models for consumption forecasting, predictive maintenance, inventory optimization, tariff analysis and safety prevention. Enable end‑user applications leveraging large language models (LLMs) for chatbots, retrieval‑augmented generation, document summarisation, image/text analysis, and content generation. **Expectations:** - Deliver high‑quality, maintainable ML code within project timelines. - Collaborate cross‑functionally with product, data, and infrastructure teams. - Ensure models meet performance, scalability, and regulatory standards. - Continuously improve model accuracy and reduce inference latency. **Key Responsibilities:** - Develop and host ML models (prediction, classification, recommendation) on serverless architectures. - Integrate LLMs (GPT, BERT, etc.) into user‑facing applications. - Create data pipelines for training, validation, and inference. - Monitor model performance in production and implement drift detection. - Deploy solutions via Azure Functions, AWS Lambda, or equivalent services. - Manage data storage in SQL and NoSQL databases. - Collaborate with Ops for CI/CD of ML models and services. - Document design decisions, model specifications, and usage guidelines. **Required Skills:** - Proficient in Python; familiarity with Java, C++, or JavaScript is a plus. - Hands‑on experience with Scikit‑Learn, TensorFlow, PyTorch, or similar frameworks. - Deep understanding of LLM architectures and fine‑tuning techniques. - Solid grasp of SQL and NoSQL database design. - Experience deploying ML workloads on AWS or Azure (serverless or container‑based). - Knowledge of CI/CD, containerisation (Docker), and orchestration (ECS/EKS, AKS). - Ability to translate business requirements into ML features and metrics. - Strong problem‑solving skills and attention to detail. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. - Certifications in cloud platforms (AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate) are desirable but not mandatory.

Neuilly-sur-seine, France

Hybrid

05-12-2025