Data Scientist

Schneider Electric's purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. We call this Life Is On.

Our mission is to be your digital partner for Sustainability and Efficiency.

We drive digital transformation by integrating world-leading process and energy technologies, end-point to cloud connecting products, controls, software and services, across the entire lifecycle, enabling integrated company management, for homes, buildings, data centers, infrastructure and industries.

We are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values.

Recognized as the world’s most sustainable company in 2021 by Corporate Knights Global 100 Index

- University Degree - Bachelor/Master is requested
- Proficient in Microsoft Office Suite (Excel, PowerPoint, Outlook, Word)
- Fluent in English
- Understanding or experience of SQL programming, MS SQL Server is preferred
- Intermediate experience of Tableau/ Power BI or other data visualization tools is requested
- Good written and verbal communication skills as well as presentation skills
Analytical thinking, detail oriented and well-organized, ability to work in a matrix organization
- Strong willingness to learn and develop

Job Purpose Summary:

This position is ideal for individual with good data analytics skills looking to apply their knowledge in a business environment. Main role of Data Analyst is to support the SEE Cluster team with big data processing, creating and customizing various reports and visualization that will enable informative decision making through actionable insights coming from available data.

- Conduct monthly and ad-hoc analysis on price performance, discount overview, commercial policy execution, price corridor project effects
- Prepare upload data for Sales DP Tool
- Collaborate with Global Marketing Analytics Team on implementation and customization of available analytics tools to SEE needs
- Support pricing master data processes
- Prepare and run defined types analysis to support List Price campaigns and calculate impact on business performance
- Provide analytical support for SPA analytics
- Participate in implementation of SE pricing tools (Oracle CPQ and PriceFx)
- Provide data processing and analytical support to any ongoing project or initiative within SEE Cluster based on prioritization