DATA ANALYST INTERN (E-COMMERCE)

August 28, 2026
RM 1500 - RM 1700 / month
Application ends: September 25, 2026

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Job Description

POSTED ON BEHALF CLIENT:

Support the collection, validation and analysis of e-commerce data to provide clearer visibility into shop, product, advertising and campaign performance across Shopee, Lazada and TikTok Shop.

Job Responsibilities

· Collect, consolidate and organise e-commerce data from Shopee, Lazada, TikTok Shop, BigSeller and approved internal sources.

· Clean and validate data by identifying missing information, duplicate records, inconsistent formats and abnormal figures.

· Maintain structured datasets covering shops, products, orders, traffic, advertising, campaigns, cancellations, returns and refunds.

· Reconcile figures across marketplace reports and investigate inconsistencies with relevant team members.

· Analyse shop and product performance using sales, GMV, orders, AOV, traffic, conversion, cancellation and refund metrics.

· Identify growing or declining shops, strong or weak products and unusual performance trends.

· Support advertising and campaign analysis, including spend, attributed sales, ROAS, traffic, conversion and promotional results.

· Prepare weekly and monthly reports, scorecards or dashboards highlighting key findings and matters requiring management attention.

· Maintain action trackers and compare performance before and after approved improvement activities.

· Document data sources, metric definitions, calculation methods and reporting procedures.

· Present preliminary findings to the designated supervisor or management for review.

Candidate Requirements

· Currently pursuing a Bachelor’s Degree in Business Analytics, Data Analytics, Data Science, Information Systems, Business Information Systems, Applied Statistics or a closely related analytical field.

· Able to commit to a full 6-month internship.

· Final-year students are preferred.

· Proficient in Microsoft Excel or Google Sheets, including formulas, PivotTables and charts.

· Basic understanding of data cleaning, validation and performance analysis.

· Strong attention to detail and comfortable working with large datasets.

· Able to identify trends and communicate findings clearly.

· Able to maintain confidentiality when handling company, customer and financial information.

Added Advantage: Power Query, Power BI, SQL, Python or exposure to e-commerce marketplace data.

Please submit:

· Updated resume

· Latest academic transcript

· University internship / industrial-training letter

· Confirmed internship start and end dates

· Relevant academic project or portfolio, if available

Application Email: careers@dsplastic.my
Email Subject: Application – Data Analyst Intern (E-Commerce)

Shortlisted applicants may be required to complete a short practical assessment.