E-commerce Data Analyst
2 weeks ago
About Easy Data
Easy Data is a data intelligence company specializing in e-commerce market insights across Southeast Asia. We collect, analyze, and visualize data from major platforms such as Shopee, Lazada, and TikTok Shop, helping businesses understand market trends, monitor competitors, and make smarter, data-driven decisions.
Role Overview
- We are seeking an E-commerce Data Analyst who combines strong analytical skills with strategic thinking and independence.
- You will take ownership of the entire data cycle from defining metrics, building dashboards, and interpreting trends to generating actionable insights that directly impact business growth.
- This role is ideal for someone who doesn't just follow instructions but identifies problems, proposes solutions, and confidently drives decisions based on data.
Key Responsibilities
- Take full ownership of data collection, processing, and analysis from multiple e-commerce platforms (Shopee, Lazada, TikTok Shop, Amazon, etc.).
- Analyze large datasets to uncover insights about product performance, pricing strategy, competition, and market trends.
- Proactively identify business opportunities, define KPIs, and suggest data-driven improvements to marketing and sales teams.
- Design and maintain automated dashboards, reports, and data pipelines to monitor performance in real time.
- Collaborate cross-functionally with engineering, marketing, and product teams to align data strategy with business goals.
- Present clear, concise insights and recommendations to leadership for strategic decision-making.
Qualifications & Requirements
Education:
- Graduated from top universities such as:
- University of Science (HCMUS), Foreign Trade University (FTU), NEU, UEH, or equivalent.
- Preferred majors: Data Science, Statistics, Economics, Business Analytics, or IT.
Experience:
- At least 2–4 years of hands-on experience in E-commerce Analytics, Business Intelligence, or Market Insights.
- Proven ability to work independently, manage priorities, and deliver insights without constant supervision.
- Experience with e-commerce datasets and market trend analysis is required.
- Strong business acumen and understanding of how data impacts commercial outcomes.
Technical Skills:
- Proficient in SQL, Python (Pandas/Numpy), and Excel/Google Sheets.
- Skilled in Power BI, Google Data Studio, or Tableau for data visualization.
- Familiar with web scraping, API data extraction, and e-commerce data structures is a plus.
- Strong communication skills, ability to translate complex data into actionable insights for non-technical stakeholders.
Benefits
- Competitive salary and performance-based bonus.
- Full autonomy in your analytical work your ideas matter and directly influence company strategy.
- Work with real data from multiple global e-commerce platforms across regions (SEA, APAC, EU, US).
- Opportunities to lead data initiatives and grow into Data Strategy or Product Analytics Lead.
- Dynamic and innovative working environment with talented, data-driven professionals.
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