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Business Intelligence Engineer

職務分類:
掲載日:
終了日:
ID:
2507041728W

この仕事を共有する:

Kenvueは現在、以下求人を募集しております。

Business Intelligence Engineer

私たちがしていること

私たちKenvueは、日々のケアが持つ驚くべき力を信じています。100年以上の伝統と科学に根ざし、Neutrogena®, Aveeno®, Tylenol®, Listerine®, Johnson’s® and BAND-AID®など、皆様が既にご存じでご愛用いただいているアイコニックなブランドを提供しています。科学は私たちの情熱であり、ケアは私たちの才能です。 

Who We Are

私たちのグローバルチームは、インサイトとイノベーションに情熱を注ぎ、最高の製品をお客様にお届けすることに全力を注ぐ、多様で優秀な22,000人以上の社員で構成されています。専門知識と共感力を備えたKenvuerであることは、毎日何百万人もの人々の生活に影響を与える力を持つことを意味します。私たちは、人を第一に考え、全身全霊をもってケアし、サイエンスで信頼を獲得し、勇気をもって解決します。私たちとあなた自身の未来を、共に切り開いていきましょう。 

Role reports to:

Regional Engagement Lead

場所:

Asia Pacific, India, Karnataka, Bangalore

勤務地:

ハイブリッド

あなたがすること

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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