Schneider Electric | Commercial Excellence Intern

HCMC

Intern

12/03 — 21/03/2026

Job Description

To apply for this job, you need to complete both steps below:
STEP 1:
Please click the link to submit your application directly to the company: 

https://www.linkedin.com/jobs/view/4381208939/

Your application will only be received by Recruiter if submitted via above link. 

STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.

Filling out this form alone does not count as applying. Kindly remind this form is not part of the company’s application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.

 

JOB DESCRIPTION:

• Conduct data analysis (internal & external) and provide an insightful report for strategic decision-making

• Enhance Salesforce effectiveness through Sales efficiency KPIs monitoring, lead communications (trainings/sales program) at the cluster level

• Be the champion for sales digital tools, drive the successful launch of digital/AI tools to the sales team, and monitor the adoption rate

• Keep track and ensure data quality of bFO (Salesforce CRM) in terms of pipeline health and customer account information, and drive the data-driven culture in the company

• Understand the market landscape, provide valuable macro/segment/competitor insights on BI monthly newsletters

• Support on ad‑hoc tasks related to data, including Channel/Product/Sales team performance review

 

QUALIFICATIONS

• Bachelor’s in Business, Finance, Statistics, or related fields with 0–2 years of experience in data-related jobs

• Expertise in advanced Excel and Access; experience with SQL, Tableau/Power BI, SAP, or other data tools

• High level of critical & analytical thinking, attention to detail, and numerical skills

• Experience working with multiple stakeholders across various divisions

Collaborative and client‑centric mindset

• Excellent written and verbal communication skills in English and Vietnamese

• Comfortable working with large data sets and numbers

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