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Business Intelligence Engineer

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2507041728W
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Kenvue 目前正在招聘 a：

Business Intelligence Engineer

我们做什么

在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。

我们是谁

我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.

Role reports to：

Regional Engagement Lead

位置：

Asia Pacific, India, Karnataka, Bangalore

工作地点：

混合

你会做什么

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.

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