Job Title: MIS & Data Analytics Intern
Company: Trinex Global
Location: Remote
Duration: 4–8 Weeks
Perks: Certificate of Completion + Letter of Recommendation (Performance-based)
About the Role
Trinex Global is looking for a driven student or recent graduate eager to gain hands-on reps with live management information systems (MIS) and data reporting before stepping into their first full-time role. You will work directly with our core ops team to organize data and build real-time reporting solutions—no simulated case studies or busywork.
Key Responsibilities
Data Management & MIS Reporting: Clean, structure, and maintain raw datasets used for routine operational and management reporting.
Dashboard Development: Build 1–2 end-to-end dashboards in Excel, Power BI, or Tableau from scratch to answer core business questions.
Data Retrieval: Write basic SQL queries to pull, filter, and aggregate datasets for recurring reporting pipelines.
Operational Integration: Attend weekly reporting reviews to observe how your data insights directly influence executive decisions.
Qualifications & Requirements
Education: Currently pursuing or recently graduated with a degree in BBA, B.Com, MBA, Data Analytics, Computer Science, Statistics, or a related field.
Technical Aptitude: Comfortable with core Excel functionality (Pivot Tables, VLOOKUP/XLOOKUP, summary formulas).
Technical Curiosity: High willingness to learn and apply SQL, Power BI, Tableau, or Python in a live environment.
Availability: Able to commit 10–15 hours per week for a 4 to 8-week duration.
What You Gain
Portfolio Artifacts: A fully functional, production-ready dashboard based on live business data to feature in your professional portfolio.
Direct Mentorship: Hands-on code and report reviews with the ops team, moving beyond passive tutorial video learning.
Formal Credentials: A completion certificate and a written Letter of Recommendation upon successful delivery of project milestones.
How to Apply
Send your updated CV to [email protected] with the subject line "MIS & Data Analytics Intern."
Work Location: Remote
