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Process Analyst
The Process Analyst will curate, structure, and visualize manufacturing and process data for Kerry’s Enzyme Process Technology team. The role involves integrating data from systems like SAP, MES, and SCADA to provide insights that optimize production and operational performance.
Data Engineer
Data Engineer building and maintaining data platforms and pipelines in Microsoft Azure, working across the full data chain from source onboarding through transformation to visualization in a complex international environment.
Senior CSAT Analyst
The Senior CSAT Analyst designs and administers customer satisfaction surveys, analyzes feedback to uncover trends, and translates insights into strategic recommendations for travel tech stakeholders. Core tools include Qualtrics, SQL, and visualization platforms.
Data Engineer | Híbrido Barcelona - barcelona
Build and maintain ETL/ELT pipelines and data models for a retail-focused project using Databricks, PySpark, Azure Data Factory, Snowflake, SQL and Python.
Data Engineer
Designs and maintains data pipelines, ETL processes, and analytical solutions for an insurance company’s business needs, using SQL, Python, PySpark, and Power BI to transform raw data into actionable insights for decision-making.
Project manager - Global Operations
Leads global operational projects for NPL and real estate, coordinating teams, analyzing business cases, and driving process standardization across countries.
Data Architect
Design and govern enterprise data architecture, building ETL/ELT pipelines and integrating data from enterprise systems into Teradata to enable scalable analytics and reporting. Core tech: Teradata, SQL Server, Python, Power BI.
Specialist I/II, Operations Intelligence, Decision Intelligence
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With…
Senior Data Scientist (m/f/d)
Senior Data Scientist builds and owns a credit risk engine (SmartRisk) using Python, SQL, and ML/AI to drive data-driven risk decisions for a large European B2B mobility and payment platform.
Principal Data Scientist (m/f/d)
Principal Data Scientist builds and owns a credit risk engine (SmartRisk) using Python, SQL, and ML/AI, driving end-to-end model lifecycle, MLOps, and business insights for a B2B mobility/payment platform.
Lead Data Scientist (m/f/d)
Lead a credit risk engine (SmartRisk) for a European B2B mobility/payment platform, designing ML models, pipelines, and business insights while mentoring a team.
Senior Associate - Procurement Consulting (Transformation & Advisory)
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Associate - Procurement Consulting (Transformation & Advisory) based in…
Consulting Manager – Strategy & Transformation
Qui sommes-nous ? Artefact est une société internationale de conseil en services data et IA, dont le siège est à Paris, qui depuis 10 ans est spécialisée dans la conception et le déploiement de technologies…
Data Analyst
Artefact is seeking a Data Analyst to transform client data into business insights through collection, processing, and visualization. The role involves designing marketing dashboards and collaborating with cross-functional teams using SQL, Python, R, and BI tools like Tableau or Power BI.
Data Analytics Manager
The Data Analytics Manager leads multidisciplinary teams to deliver advanced data marketing and analytics strategies for international clients. The role involves overseeing dashboarding, analytics engineering, and AI-driven solutions while driving the agency's analytics strategy and team growth.
Data Scientist
The Data Scientist will perform data quality analysis, statistical modeling, and reporting to uncover business insights. The role requires proficiency in SQL, Python or R, and Power BI to communicate findings to stakeholders.
Data Scientist
As a Data Scientist at Artefact, you will use Python, SQL, and machine learning algorithms to build models and derive business insights. You will also be responsible for visualizing data and deploying models on cloud platforms like Azure, GCP, and AWS.