Sr. Analyst, Make Digital Capabilities

Sr. Analyst, Make Digital Capabilities

Cosa facciamo

A Kenvue, ci rendiamo conto dello straordinario potere della cura quotidiana. Costruiti su oltre un secolo di tradizione e radicati nella scienza, siamo la casa di marchi iconici, tra cui NEUTROGENA®, AVEENO,® TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® che già conosci e ami. La scienza è la nostra passione; la cura è il nostro talento.

Chi siamo

Il nostro team globale è composto da ~ 22.000 persone brillanti con una cultura del posto di lavoro in cui ogni voce conta e ogni contributo è apprezzato. Siamo appassionati di intuizioni, innovazione e impegno a fornire i migliori prodotti ai nostri clienti. Con competenza ed empatia, essere un Kenvuer significa avere il potere di avere un impatto su milioni di persone ogni giorno. Mettiamo le persone al primo posto, ci prendiamo cura di noi, ci guadagniamo la fiducia della scienza e risolviamo con coraggio - e abbiamo brillanti opportunità che ti aspettano! Unisciti a noi per plasmare il nostro futuro e il tuo. Per ulteriori informazioni, fare clic su here.

Role riporta a:

Manager IoT and Smart Factory Data

Ubicazione:

Asia Pacific, India, Karnataka, Bangalore

Luogo di lavoro:

Ibrido

Cosa farai

As Sr. Analyst, Make Capabilities, you will support the delivery of data products within the Make Capability for Kenvue Operations. You will partner closely with manufacturing sites and contribute to data requirements, development, and visualization design. You will also be responsible for data analysis, assistance with data cleansing, data profiling, data collection, and data harmonization.

If you are passionate about data and manufacturing digitalization, we invite you to apply today!

 

Key Responsibilities

 

·    Support the successful execution of the various Make Capabilities (Waste Tracking, Digital Performance Management) to accelerate Kenvue’s Digital Transformation and business growth

·    Execute hands-on data sourcing, harmonization, and curation for Manufacturing data on a global level

·    Partner with the global and regional Make, Data Management, and other teams to define and implement data standards

·    Recommend manufacturing data asset features and solutions considering priorities and tradeoffs, and help drive alignment among partners

·    Ensure high quality data is created right the first time and appropriately managed throughout the entire data lifecycle

·    Work with business and visualization teams to define visualization requirements and develop visualizations for use locally, regionally, and globally

·    Ensure required documentation and request tracking systems are up to date

·    Collaborate with business partners to best support their business data requirements

 

What we are looking for

Required Qualifications

 

·    Bachelor of Science or Bachelor of Engineering at a minimum.

·    Minimum 4 – 6 years of relevant business experience. 

·    A passion for manufacturing & manufacturing data

·    Proficiency in analyzing data, segmenting, rationalizing, defining, tracing lineage, influencing ownership, as well as ensuring it is fit-for-purpose and ready for usage.

·    Proficiency with SQL Warehouse, Databricks, and Python

·    Proficiency with Office Suite – advanced Excel skills, PowerPoint, Word.

·    Strong analytical and problem-solving skills, with the ability to understand business and technical requirements

·    Ability to communicate in business and technical terms with equal effectiveness

·    Knowledge of ERP Systems - SAP or equivalent

 

Desired Qualifications

 

·    Manufacturing experience required with experience in the Consumer Goods industry preferred

·    Experience with Digital Twin capabilities preferred

·    Experience working with major cloud providers such as MS Azure, AWS, GCP

·    Experience with ETL processes (extraction, transformation, and loading) between different systems

·    Knowledge graph experience

·    Hands-on experience with Jira

·    End-to-end knowledge of Supply Chain business processes (e.g., Plan, Source, Make, Deliver, Quality)

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