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Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Jul 13, 2026. Henkel scores A on the Alion truth index.

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Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

About this Position In this role, you will design, build, and maintain scalable data assets, reporting layers, and analytical solutions that support reliable data-driven decision-making across the business. Shift: Evening Shift Working Hours: 3:00 PM - 11:00 PM Schedule: Fixed Evening Shift What you´ll do Design, develop, and maintain analytical solutions that support business reporting, performance tracking, and data driven decision-making. Translate business requirements into scalable data models, reporting layers, dashboards, and actionable analytical outputs.

Develop and maintain data preparation and transformation logic using SQL, Python, and cloud-based analytics platforms such as Azure Databricks. Build and enhance structured datasets and reporting-ready data models to support Power BI dashboards, semantic models, and recurring analytical use cases. Ensure data quality, consistency, and reliability through validation, reconciliation, testing, and documentation of business logic.

Support automation and continuous improvement of reporting processes, data workflows, and recurring analytical activities. Collaborate with business stakeholders, analysts, and IT/data teams to understand requirements and deliver reliable analytics solutions. Support business users with ad hoc analysis, troubleshooting, documentation, and interpretation of analytical insights.

Contribute to agile delivery by supporting requirement gathering, solution design, testing, documentation, and continuous improvement initiatives.

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