Internship - Data Engineering and Analyst (Unit Process Excellence)
Reads like an Analyst role: dashboards and reporting.
Location not identified
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and build analytics tools or dashboards for operational teams
Conduct data analysis projects using Python or other open-source tools
Validate data integrity for proof-of-concept tools
Run training sessions on data concepts and tools for end users
Manage large volumes of production data and design reporting tools
From the employer’s posting
Design and build analytics tools or dashboards for operational teams across backend sites.
Conduct data analysis projects using Python or other open-source tools for data processing.
Validate data integrity for POC tools to ensure accuracy and reliability.
Conduct training sessions on data concepts and specific tools for end users.
Learn to manage large volumes of production data and design dashboards/tools for reporting.
What you’ll bring
All qualificationsCore experience
- Commit to a minimum internship duration of 4 months
- Studies in Data Science, Business Analytics, Computer Science, Information Systems, Electronic Engineering, or related
- Strong independent team player with good collaboration skills
Preferred experience
- Familiarity with SQL, Python, and R
Qualification wording
Able to commit to a minimum internship duration of 4 months.
Preferred fields of study include Data Science, Business Analytics, Computer Science, Information Systems, Electronic Engineering, or a related discipline.
A strong independent team player with good collaboration skills.
Familiarity with SQL, Python, and R is advantageous.
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
Key responsibilities in your new role * Analytics Tool Development: Design and build analytics tools or dashboards for operational teams across backend sites. * Data Analysis: Conduct data analysis projects using Python or other open-source tools for data processing. * Data Integrity Validation: Validate data integrity for POC tools to ensure accuracy and reliability. * Training & Support: Conduct training sessions on data concepts and specific tools for end users. Internship Learning Outcomes:
Qualifications and skills to help you succeed * Education: Preferred fields of study include Data Science, Business Analytics, Computer Science, Information Systems, Electronic Engineering, or a related discipline. * Commitment: Able to commit to a minimum internship duration of 4 months. * Teamwork: A strong independent team player with good collaboration skills. * Technical Skills: Familiarity with SQL, Python, and R is advantageous. * Preferred intake: Jan 27 - May/ June 27 Contact: Hillary Woo
Posting record
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- Live
- First seen by us
- Aug 14, 2026 · 78 days ago
- Recorded sightings
- 224
- Last seen by us
- Oct 31, 2026
- Employer says posted
- Jul 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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