Data Analyst Intern

Date PostedJuly 14, 2026LocationNot specifiedCompanyWonderliv Sdn BhdSalaryRM 800 - 1000TypeInternship

Job Summary

This internship focuses on supporting e-commerce performance through data analysis and reporting. The intern will build dashboards, extract data from BigQuery, and use AI tools to automate reporting processes. The role requires close collaboration with cross-functional stakeholders to ensure data accuracy and actionable insights.

Responsibilities

  • Prepare and maintain e-commerce performance reports
  • Build and update dashboards in Power BI/Google Sheets
  • Extract and structure data from BigQuery
  • Collaborate with stakeholders to gather reporting requirements
  • Utilize AI tools for data cleaning and trend analysis

Required Skills

  • Data Analytics or related degree
  • Proficiency in BigQuery and Power BI
  • Experience with AI tools (Claude/Codex)
  • Strong analytical and communication skills
  • Understanding of SQL and data manipulation

Job Details

Core Responsibilities: - Prepare and maintain monthly sales/performance reports across all e-commerce platforms (Shopify, Lazada, Shopee, and any others in scope). - Build and maintain dashboards (Google Sheets, Power BI, or similar). - Pull and structure data from BigQuery / Google Cloud data warehouse. - Track key metrics: revenue, conversion, inventory levels, campaign performance. - Gather reporting requirements from stakeholders and translate them into report/dashboard specs. - Liaise with multiple stakeholders (e.g. marketing, ops, management) to verify and reconcile numbers before finalizing reports. - Use AI tools (Claude, Codex) to speed up reporting — summarizing trends, drafting insights, automating repetitive data cleaning and scripting. - Flag anomalies or data quality issues before they hit final reports. - Exposure to adjacent work as needed: light data engineering (pipeline/ETL support), QA testing of internal tools, and basic software engineering tasks. Requirements: - Studying or graduated in Data Analytics, Data Science, Statistics, Data Engineering, Computer Science, Business, or related field — but open to other degrees if you have a keen interest in IT/AI and have built vibe-coded projects (using tools like Claude, Codex, ChatGPT, etc.). - Sound analytical thinking — able to interpret data, spot patterns, and draw logical conclusions. - Some experience with BigQuery and Power BI. - Comfortable using Claude and Codex for analysis, reporting, and light coding tasks. - Comfortable communicating with non-technical stakeholders to gather requirements and confirm data accuracy. - Detail-oriented, comfortable with recurring monthly deadlines. Nice to Have: - Exposure to Python (pandas) for data manipulation. - Understanding of e-commerce metrics (AOV, CAC, retention, etc.). - Basic SQL beyond BigQuery basics (joins, CTEs, window functions). - Familiarity with data pipelines, working with API calls, and MCP (Model Context Protocol).