Schneider Electric's purpose is to empower all to make the most of the energy and resources, bridging progress and sustainability for all. They call this Life Is On. Their mission is to be your digital partner for Sustainability and Efficiency.
Your responsibility
Work with North America IT, data, channel, and marketing teams to manage and update channel data related to rebate systems.
Maintain ongoing and detailed evaluation of channel rebate data quality by identifying anomalies and discrepancies and providing expertise to understand the root cause while implementing and tracking corrective measures
Serve as the primary contact for data quality issues related to Channel Rebate Data and be accountable for the implementation of issue resolution.
Identify trends, or potential barriers/issues in our channel rebate data, and work with the channel team to help resolve them.
Raise issues to data owners and if needed, escalate to the Channel Rebate Data Leader
Drive rebate data quality, accuracy, and discipline within the channel and marketing teams working with our channel partners.
Training & development
Schneider Electric provides training to keep the teams' competence up-to-date. They offer training courses to help you build the team's competence, enhance safety, develop the staff’s troubleshooting skills, and maximize the availability of PAC & PLCs.
Compensation & benefits
They take responsibility as an employer seriously, so they ensure that your portfolio supports the diverse global workforce needs in a way that is ethical and fair. Their market-leading global Benefit standards cover family leave, medical, and life insurance. Their pay equity program promotes fairness everywhere.
They offer a choice of benefits to care for your personal needs at each life stage. These cover a holistic range of well-being and financial protections to provide peace of mind for you and your dependents. Workplace flexibility policies and paid time off are available when you need them.
Career progression
At Schneider Electric, one of their core values is to Learn Every Day. With 5 generations in their workforce, they continuously learn from each other and others to ensure they stay competitive.
Work-life balance
They empower all their employees to work flexibly and manage their unique life and work in the way that works best for them. Employees are enabled, empowered, and safe to decide when and how they work best. Working part-time or from the comfort of your home are just a few of the choices you can make when you need them most.
Company culture
At Schneider Electric, diversity is integral to its history, culture, and identity. Inclusion is the way they treat and perceive all differences. They want to create an inclusive culture where all forms of diversity are seen as a real value for the company.
About you
Graduate with a Bachelor's Degree in any related field.
Proficiency in using Microsoft Office programs with expertise in Excel.
Experience in data analysis with SQL, Tableau, Alteryx, Power BI, and other data management systems is a plus but is not required.
An analytical person with experience in reading, analyzing, making decisions, and solving problems based on data exports from data platforms.
Have an aptitude for learning and working in new IT systems.
Time and data management skills are essential to analyzing and managing a large volume of data.
Strong ability to cooperate and work in a multicultural environment and work autonomously.
Proficient with the English language (writing, speaking, and reading) proficiency
Able to function in a new project with changing parameters at a fast paces and reactive environment
How to apply
To apply for this position, simply click the “Apply” button on this page.
Source/s:
se.com.ph
ph.indeed.com
youtube.com
Hiring criteria
You should have or be completing the following to apply for this opportunity.
Entry Pathway
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
I
Computer Science (all other)
Data Science
Work rights
The opportunity is available to applicants in any of the following categories.