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01/02 Janaki Devi
HR at Johnson & Johnson

Views:967 Applications:119 Rec. Actions:Recruiter Actions:0

Johnson & Johnson - Specialist - Consumer Supply Chain Analytics/Data Architect (12-15 yrs)

Mumbai Job Code: 792579

Data Architect Specialist

- Experience of working on at least 2 enterprise wide projects involving data lakes, data migration, integration with various downstream systems

- Experience in creating data migration, data integration plan, enterprise data architecture

- Experience in working in a matrix organization structure

- Support analytics use cases discovery and operations by building data models for descriptive analytics

- Support development of models/algorithms for advanced data analytics (AI) based on use cases identified

- Define and extend Data management platform architecture based on useful data sources identified for local markets

Performance Management:

1. Integration and harmonization of various dashboards for strategy & deployment group

2. Works closely with regional/country supply chain functions to improve forecast accuracy level in the franchise (country/regional level)

3. Outstanding - hands-on- knowledge on tools such as Excel, Access, VBA. Knowledge of Machine Learning, and such advanced concepts would be strong advantage.

4. Work closely with cross functional teams to reduce waste/cost in supply chain processes, through improved: Demand planning; Inventory management and Supply visibility

5. Project Portfolio Management:

6. Led capital analytics projects - Portfolio, CAR Analytics, Global Manufacturing platforms

Qualifications and key competencies:

Education: Master's Degree in Management or MTech

Professional Experience: 12-15 years business experience - preferred Analytical exposure. High expertise of tableau development with strong experience with Alteryx and Teradata is mandatory.

Knowledge and Skills:

- Minimum 12+ Years of experience required

- Experience with Big Data Technologies (Hadoop, Hive, Spark, etc.) a must have

- Experience with AWS Data Warehousing and database platforms (RedShift, S3 Athena, Aurora) a must have

- Experience with ETL tools such as Amazon Glue (Required) and Talend / Alteryx

- Coding proficiency in Python, R a plus

- Deep SQL coding experience

- Certification: TOGAF, Tableau certification, Alteryx / Talend Certification

Women-friendly workplace:

Maternity and Paternity Benefits

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