Digital Engineer (Data Analytics & Power BI) - Angren Plant

Henkel • Russian: C1 • Cleaning & Household Products • Chemical Manufacturing • Power BI • 8 days ago
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Salary
≈ $9.5k – $25k per year (Estimated)
Location
In office (Uzbekistan)

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 18, 2026. Henkel scores A on the Alion truth index.

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Henkel

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.
henkel.com • HQ: Düsseldorf, Germany • Hair Care Products • Cleaning & Household Products • FMCG & Consumer Brand Groups • Chemical Manufacturing • 1001-5000 employees • Est. 1876
Tech stack of Henkel

Описание должности Henkel в поисках Digital Engineer (Data Analytics Power BI) на производство в г. Ангрен, Узбекистан. Что вы будете делать Анализ производственных данных и подготовка аналитических выводов для поддержки принятия бизнес-решений.

Разработка и сопровождение дашбордов, KPI-мониторингов и отчетности в Power BI. Выявление трендов, отклонений и возможностей для повышения эффективности производственных процессов. Участие в проектах цифровизации и автоматизации производства.

Работа с системами сбора данных, промышленными цифровыми платформами и IoT-решениями. Внедрение цифровых инструментов и поддержка процессов цифровой трансформации предприятия. Взаимодействие с подразделениями Производства, Технического обслуживания, Качества и IT для реализации цифровых инициатив.

Подготовка и актуализация технической документации по цифровым системам и процессам. Развитие культуры принятия решений на основе данных (Data-Driven Decision Making).

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