Data Analytics Engineer (Evening Shift)

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.

What makes you a good fit

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Business, or a related field.
• 2–4 years of experience in data analytics, business intelligence, analytics engineering, or related data roles.
• Strong hands-on experience with SQL for data extraction, transformation, and data modeling.
• Practical experience with Power BI / Tableau, including dashboard development, reporting layers, and semantic models.
• Practical experience with Python for data analysis, transformation, automation, or data preparation activities.
• Experience working with structured datasets, reusable analytical data models, data quality checks, validation, and documentation.
• Familiarity with cloud-based analytics platforms such as Azure Databricks, Spark/PySpark, Git, version control, or CI/CD is a plus.
• Strong problem-solving mindset, attention to detail, and ability to translate business needs into scalable analytical solutions.

Some perks of joining Henkel

• Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
• Diverse national and international growth opportunities
• Global wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares
• Comprehensive Health Insurance for employee + dependents
• Employee Assistance Programme provides a wide range of mental health and wellbeing benefits

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.