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Salary
≈ $21k – $56k per year (Estimated)
Location
In office (Bratislava)

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jul 20, 2026. Henkel scores A on the Alion truth index.

Overview
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Profile match
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 Join Henkel as an "Data Analytics, Maintenance Reporting Analyst with PowerBI" and play a key role in enabling data-driven decision-making within our Adhesives business. In this role, you will ensure the accessibility of Strategy Sales data on our Integrated Steering Reporting (ISR) platform. Your primary responsibility will be to collect, review, and upload ISR master data in continuous alignment with our Business Stakeholders.

Additionally, you will focus on executing and designing data quality management processes, as well as enabling self-service BI capabilities for our users. You will also explore opportunities to automate and continuously improve our internal processes. What you´ll do Coordination and refinement of ISR master data updates in close collaboration with business stakeholders across all segments of Henkel Adhesives.

Maintenance and streamlining of data mappings using Microsoft Excel and the Azure Portal. Execution of data quality checks and KPI monitoring using ISR and Databricks. Identification and resolution of data inconsistencies in partnership with our development team.

Support in the development of a holistic self-service BI approach, enabling users to access ISR data for their own reporting in Microsoft Power BI. Automation of internal ISR data processes using Python and Microsoft Power Query.

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