Business Intelligence Engineer

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

Rollenberichte an:

Standort:

Arbeitsort:

Was Sie tun werden

The Business Intelligence Engineer will design, develop, and maintain advanced analytics solutions to support Supply Chain and business decision-making. This role focuses on building and optimizing Power BI dashboards, managing SQL-based data flows (front-end and back-end), and integrating data from SAP, Databricks, and modern platforms such as Microsoft Fabric. The ideal candidate will combine strong technical expertise with deep understanding of supply chain processes to deliver scalable, automated, and insightful analytics solutions.

Key Responsibilities

1. Develop and Maintain BI Solutions for Supply Chain:

·       Design, build, and optimize Power BI dashboards focused on supply chain KPIs (OTIF, Cost to Serve, Inventory, Transportation, Customer Experience).

·       Ensure data accuracy and integrity across dashboards and reports.

·       Train supply chain stakeholders on effective use of BI tools and dashboards.

2. Data Engineering and Automation:

·       Develop and maintain SQL queries, stored procedures, and ETL pipelines for supply chain data preparation and transformation.

·       Automate data flows and reporting processes to improve efficiency and reduce manual effort.

·       Implement best practices for data governance and security across supply chain datasets.

3. Integration and Advanced Analytics:

·       Integrate data from SAP, Databricks, and other enterprise systems into centralized supply chain data models.

·       Leverage Microsoft Fabric and cloud technologies for scalable analytics solutions.

·       Collaborate with supply chain analysts and planners to enable predictive analytics (e.g., demand forecasting, inventory optimization).

4. Continuous Improvement and Innovation:

·       Identify opportunities for process automation and analytics enhancements within supply chain operations.

·       Stay updated on emerging BI and supply chain technologies and recommend adoption where relevant.

·      Participate in workshops and cross-functional projects to align analytics with supply chain priorities.

What We Are Looking For

Required Skills and Experience:

Technical Expertise:

• Strong proficiency in Power BI (DAX, Power Query, advanced visualization techniques).

• Solid experience with SQL for both front-end reporting and back-end data engineering.

• Hands-on experience with SAP data extraction and integration, especially supply chain modules.

• Familiarity with Databricks, Microsoft Fabric, and cloud-based data platforms (Azure preferred).

• Understanding of data modeling, ETL processes, and data warehousing concepts.

Supply Chain Knowledge:

• Strong understanding of end-to-end supply chain processes: procurement, production, inventory management, transportation, and order fulfillment.

• Familiarity with supply chain KPIs and metrics (OTIF, Cost to Serve, Forecast Accuracy, Lead Time).

• Ability to translate supply chain business requirements into technical BI solutions.

Additional Skills:

• Knowledge of Python for data manipulation and automation (nice to have).

• Experience with data governance, security, and compliance standards.

• Strong analytical and problem-solving skills with attention to detail.

Soft Skills:

• Excellent communication and stakeholder management skills.

• Ability to work independently and manage multiple projects simultaneously.

• Strong time management and prioritization capabilities.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Data Analytics, Supply Chain Management, or related field.

• Experience in predictive analytics, machine learning, or advanced statistical methods (nice to have).

What’s in it for you

·    Competitive Total Rewards Package*

·    Paid Company Holidays, Paid Vacation, Volunteer Time & More!

• Learning & Development Opportunities

• Employee Resource Groups 

• This list could vary based on location/region

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.

Wenn Sie eine Person mit einer Behinderung sind, besuchen Sie bitte unsere Behindertenhilfe für Informationen darüber, wie Sie eine Unterkunft anfordern können.