Data Intelligent Senior Analyst - East Asia

In Schneider Electric everything we do promotes progress and sustainability for all - our colleagues, customers, partners, and the communities and societies where we live and work.

From the products, software, and services driving the digital transformation of energy management and automation to corporate citizenship and volunteer activities, we make an impact by helping people and organizations become more resilient and efficient, more electric and digital.

Which is where you come in.

Working at Schneider Electric means working toward a cleaner, better world.

You're part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.

The Role:

Join our dynamic Business Data Office team to drive data excellence and innovation across East Asia.

As a Data Intelligent Senior Analyst for East Asia, you will play a crucial role in understanding, managing, and leveraging data to support strategic decision-making and enhance business performance.

Mission :

As part of the Business Data Office team, you will need to :-


* Comprehend the lifecycle of data, including its definition, creation, identification, maintenance, delivery, and consumption.


* Manage metadata in accordance with the four golden rules established by the Data and Performance Team.


* Adopt a digital and big data mindset, with a focus on automation and AI use cases.


* Collect data from diverse sources such as databases, APIs, and external datasets.


* Utilize statistical methods and machine learning algorithms to analyze data, identifying trends, patterns, and anomalies.


* Develop predictive models to forecast future trends and outcomes based on historical data.


* Create visual representations of data to effectively communicate findings to stakeholders.


* Provide actionable recommendations and strategic insights to support decision-making processes.

What will you do?


* Understand business use case and data needed.


* Understand how the data is defined, manufactured, identified, maintained, delivered and consumed.


* Ability to build a metadata model based on the constraints defined by metadata leaders.


* Map the use case within that metadata model.


* Ability to interpret and display metadata using different approaches.


* Build key insights that lead to better informed and successful decision-making


* With the support of the data architect build a data catalog.


* Create technical lineage by using existing tools.


* Ensure Data Quality are accurate and reliable.


* Based on the constraints set by the Data Quality Lead, enhance the metadata model by defining and designing appropriate Data Quality Specifications.

What qualifications will make you successful?


* Min Degree in Data Science or any other related discipline.


* Min 5 years of relevant working experience.

Having experience managing manufacturing / supply chain bi...