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PMO/Data Analyst

AT Schneider Electric
Schneider Electric

PMO/Data Analyst

Bangalore, India

Job : PMO & Data Analyst - Customer Experience GSC

We're looking for a PMO who will lead transversal programs and transformations aiming to improve end-to-end customer experience in supply chain. With a strong focus on data analysis, project management, customer-mindset and business transformation, you will coordinate strategic transformations and operational plans at global level. Would be responsible for interpreting our Customer Data and turning it into Insights in our Customer Experience in the Global Supply Chain.

This is a great career opportunity if you are looking for:

• A generalist mission where you will be learning every day on different fields of customer experience, supply chain, digital transformation and business. The mission is a hybrid of PMO and Data Analyst.

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• You do not like routine and enjoy interacting with diverse teams, working on both long term transformational projects and operational initiatives

• You will be challenged in a fast-pacing, cross-cultural, dynamic organization, leading one of the most strategic pillars to delivery Schneider Electric growth ambition and growth transformation.

• You like to be empowered, accountable and challenged.

You will be reporting directly to our SVP Customer Experience GSC. You will work transversally in the team, with a special focus on Customer Experience & Traceability.

Context: Our mission in Global Customer Experience in GSC:

In today's competitive and fast-changing landscape, understanding and enhancing customer experience is crucial for business success. Our mission is to enable growth by increasing customer satisfaction across four domains: customer-centricity, reliability, product traceability, and new high-growth business models.

Providing a more personalized customer experience for our main customer personas, throughout the entire customer journey at supply chain, powered by AI, machine learning, GenAI, big data and analytics.

Areas of Responsibilities:

1. PMO mission, integrating and driving the implementation of customer experience projects and programs globally, ensuring timely execution and business impact.

2. Be the customer experience Data Officer in GSC, by g athering and structuring data from various sources (ERPs, CRMs, control tower, manufacturing and logistics management systems). Makes recommendations about the methods and ways in which a company obtains and analyzes data to improve the quality and efficiency of data systems. Identifies patterns and trends in data sets, analyzes results, and applies supervised or unsupervised learning techniques as necessary to derive insights.

3. Works alongside teams within global customer experience team and/or the management team to establish business needs. Reports the results back to the relevant members of the business. Designs data for dashboards serving business needs.

4. Elaborate strategic plans, operational plans, business reviews and top management reports/presentations.

5. Active contributor to the central GSC PMO Organisation: Contribute towards sharing session, panel discu ssions , global skills network calls in the central PMO and PM community across the organization (GSC and non GSC Teams)

Interactions and Stakeholders

• In the team: domain leaders (order delivery experience, E2E product traceability, specialized supply chain by customer segment, customer mindset)

• Other GSC team:

o Planning

o Logistics

o Industrialization

o Procurement

o GSC regions

• In the business

o Operations (zones, countries, channel leaders)

o Businesses

o DCR (digital customer relationship)

o CSQ

• Technology partners:

o Schneider Digital

o GSC Analytics & AI

What we're looking for?

- Business Interpretation
Data Analysts are a critical link between the data delivered by the technical teams and the data consumed by the business. Their outputs are consumed by the organization to make decisions and support strategies.

- Data Analysis
Gathers and structures information from various sources. This data is then interpreted and exploited to make business decisions. Makes recommendations about the methods and ways in which a company obtains and analyzes data to improve the quality and efficiency of data systems. Identifies patterns and trends in data sets, analyzes results, and applies supervised or unsupervised learning techniques as necessary to derive insights.

- Result Analysis
Works alongside teams within the business or the management team to establish business needs. Collects and interprets data. Reports the results back to the relevant members of the business. Designs data for dashboards, serving business needs.

Please apply if you're recognize yourself here:
  • Project management experience, able to collaborate and work with a diverse and cross-cultural team, with the right balance between enabling & driving performance.
  • Ability to demonstrate influencing skills, judgment, tact and dealing with internal and external stakeholders
  • Is experienced in data visualization, data cleaning and preparation.
  • Has the ability to analyze large datasets.
  • Has the ability to write comprehensive reports and dashboards.
  • Has strong verbal and written communication skills.
  • Has an analytical mind and inclination for problem-solving.
  • Has attention to detail.
  • Possesses strong knowledge of ERP systems, particularly SAP, with the ability to access and interpret data from various sources as needed.
  • Technical knowledge on Tableau, Knaxis, Medallia

• Good Software skills (Word, Excel, PowerPoint, etc.)
  • Project Leadership - Ability to drive a project in a multicultural, complex environment.
  • Well-versed in business processes, especially those related to distribution centers.

The person we're looking for could be based in one of our GSC Hubs, preferably Bangalore in India, or Budapest in Hungary.

Schedule: Full-time
Req: 009ADA

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Schneider_Electric-https://careers.se.com/jobs/009ADA?lang=en-us
Employment Type: Full Time