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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analyst, Manufacturing Digital Tools - **Company:** Loreal - **Location:** North Little Rock, AR, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Information Systems, FlexNet Publisher, Power BI, SAP (Applications), Data Analytics, Data Management, Powerapps - **Published:** July 3, 2026 - **Apply:** https://careers.loreal.com/en_US/jobs/ApplicationMethods?jobId=247614 ## About the Role * Bachelor's degree or equivalent in Engineering, Information Systems, Data Analytics, Supply Chain, Industrial Management, orrelatedfield.Experience in cosmetics, industrial, or pharmaceutical environments is beneficial but not mandatory. * Entry-levelprofile;experienced or newin manufacturing, operations, digital tools, or data analysis is a plus. * Familiarity with one or more of the following is preferred: SAP, Power BI,Solvace,Apriso,FlexNet, Power Apps. * Strong Excel and reporting skills. * Good analytical skills, attention to detail, and a structured way of working. * Good communicationand collaboration skills, with the ability to support both technical and non-technical users. * Strong analytical and problem-solving mindset.Organized, reliable, anddetail oriented. * Willingnessto learn quickly in a fast-paced manufacturing environment. * Service-oriented attitude with the ability to support non-technical users. * Eagerness to learn and grow in a multinational manufacturing environment. Key success factors * Quality and reliability of site data and reporting * User adoption and effective use of digital tools * Responsiveness in resolving tool and data issues * Contribution to process simplification and digital transformation * Support provided to operational excellence and site performance improvement ## Description The Digital Tools Solutions & Data Management Sr. Analyst supports the manufacturing site in improving operational performance through effective use of digital tools, reliable data, and clear reporting. The role helps maintain and improve digital solutions used across production, quality, supply chain, and operational excellence, while ensuring that site data is accurate, accessible, and useful for decision-making., * Support the daily use and continuous improvement of site digital tools, including SAP, Power BI,Solvace,Apriso,FlexNet, and Power Apps. * Support the internal packaging performance OEE tool (SPI)and the accuracy of this data * Act as a first level support contact for tool-related questions, data issues, and user requests. * Maintain and improve operational dashboards and reports,mainly through Power BI, to monitor KPIs such as productivity, quality, service, waste, and downtime. * Ensure data accuracy, consistency, andtimelyavailability across manufacturing systems and reports. * Assistin data collection, validation, consolidation, and analysis to support site performance reviews and improvement initiatives. * Support digitalization of manual or non-standard processes through simple solutions and workflow improvements. * Help prepare user guides, training materials, and standard documentation for digital tools and reporting practices. * Train and support end users to improve adoption, compliance, and best practices in tool usage and data management. * Work closely with Production, Quality, Supply Chain, Maintenance, Engineering, Finance, IT, and Operational Excellence teams. * Escalate system issues when needed and coordinate with central or regional support teams. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023)