DATA ANALYST INTERN (E-COMMERCE)

DS Plastic Innovations Sdn Bhd; Seberang Perai; On-site; MYR 17,000 - 19,000; Part time

Job summary

DS Plastic Innovations Sdn Bhd in Bukit Mertajam, Penang is offering a 6-month internship in data analytics. You will collect, validate and analyse e-commerce data across Shopee, Lazada and TikTok Shop to provide clear visibility into performance metrics.

The role requires a Bachelor’s degree in a closely related field and strong Excel/Sheets skills. On-site placement with a RM1,500–RM1,700/month stipend, opportunity to work with Power Query/BI and SQL, and exposure to AI-assisted data

Qualifications

• Bachelor’s degree in a closely related analytical field.
• Proficient in Excel/Sheets with formulas, PivotTables and charts.
• Basic data cleaning, validation and performance analysis.

Responsibilities

• Collect, consolidate and organise e-commerce data from multiple platforms.
• Clean data by identifying missing information and duplicates.
• Maintain datasets covering shops, products, orders, traffic and campaigns.
• Analyse performance metrics such as GMV, orders, AOV and ROAS.
• Prepare weekly and monthly reports and dashboards.
• Document data sources and reporting procedures.
• Present findings to supervisor for review.

Skills

Excel/Google Sheets

PivotTables

Charts

Data cleaning

Data validation

Performance analysis

Attention to detail

Trend identification

Confidentiality

Education

Bachelor’s Degree in Business Analytics/Data Analytics/Data Science/Info Systems or related

Tools

Power Query

Power BI

SQL

Python

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

DS Plastic Innovations Sdn Bhd – Bukit Mertajam, Penang

Location: Mainland Penang
Duration: 6 months
Allowance: RM1,500–RM1,700/month
Vacancy: 1 position
Work Arrangement: On-site

Internship Objective

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.

WE EMBRACE AI

We actively encourage the practical and responsible use of AI tools to improve productivity, analysis and problem-solving.

Candidates should be comfortable using AI as a working tool while being able to verify, question and validate the results rather than relying on AI blindly.

Learning Exposure

• Multi-platform e-commerce data management
• Shop and product performance analysis
• Advertising and campaign analytics
• Data cleaning and reconciliation
• Business reporting and dashboards
• AI-assisted data workflows