PiMerce Hiring! Full Time Ecommerce Analyst in - Ricebowl

About Pimerce

piMerce is a new generation digital commerce growth enablement company. We provide integrated digital shelf measurement, marketplace intelligence, shelf management solutions and advisory services. Our products are packed with new generation capabilities - generative AI, prescriptive analytics to enable e-commerce growth. Backed by a strong and experienced advisory team, we work with some of the leading brands and retailers around the world to partner and enable e-commerce growth.

About the Role

We are looking for an E-commerce Business Analyst to support e-commerce analytics, performance management, and strategy development for brands across Southeast Asia.

We are looking for someone who is analytical, commercially minded, and curious about e-commerce. You should be comfortable moving between raw marketplace data, Seller Centre platforms, Excel analysis, and business presentations.

Most importantly, you should be able to turn data into a clear business story — identifying what is happening, why it is happening, and what brands can do next to improve performance.

The role will work extensively with data from Shopee, Lazada, and TikTok Shop, combining strong analytical capabilities with hands-on marketplace knowledge. You will be responsible for transforming marketplace data into meaningful business insights, identifying growth opportunities, and supporting the development of data-driven e-commerce strategies for brands.

This role is suited for someone who understands both the commercial and operational aspects of e-commerce and can translate complex data into clear recommendations for business stakeholders.

Key Responsibilities

• Analyze e-commerce performance across Shopee, Lazada, and TikTok Shop, including sales, traffic, conversion, pricing, promotions, campaigns, content, and other key performance indicators.
• Collect, clean, validate, and structure large datasets from multiple marketplace and business sources to ensure accuracy and consistency.
• Identify performance trends, gaps, opportunities, and key business drivers through detailed data analysis.
• Translate analytical findings into clear, actionable insights and recommendations for brands and business stakeholders.
• Support the development of e-commerce strategies for brands across Southeast Asian markets using marketplace, category, competitor, and consumer performance data.
• Conduct analysis across areas such as category performance, competitor benchmarking, pricing, promotions, assortment, campaigns, traffic, conversion, availability, and content performance.
• Evaluate campaign and promotional performance to understand key drivers of sales and identify opportunities for future optimization.
• Develop recurring performance reports, dashboards, and business reviews to track key e-commerce metrics and KPIs.
• Create clear and structured PowerPoint presentations that translate data and analysis into compelling business narratives.
• Navigate and manage Shopee, Lazada, and TikTok Shop Seller Centres to extract, validate, and interpret marketplace data.
• Collaborate with internal teams, brands, marketplaces, retailers, and e-commerce enablers to support business objectives and strategic initiatives.
• Leverage AI and automation tools to improve the efficiency of analysis, research, reporting, and day-to-day workflows.

Requirements

• Based in Malaysia; open to travel to Singapore as required for business meetings.
• Bachelor’s degree in business, Management, E-commerce, Marketing, or a related field.
• 2–3 years of relevant experience in an E-commerce Executive, Business Analyst, E-commerce Analyst, Key Account Management, Marketplace, or similar role..
• Strong understanding of e-commerce metrics, KPIs, analytics, and marketplace performance drivers.
• Strong hands-on experience navigating and managing Shopee, Lazada, and TikTok Shop Seller centres.
• Highly proficient in Microsoft Excel and PowerPoint, with strong capabilities in data cleaning, formulas, lookups, pivot tables, data analysis, and translating analytical findings into clear, structured business presentations.
• Strong working knowledge of AI tools for analysis, research, automation, and productivity.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Comfortable working with large and complex datasets from multiple sources.
• Ability to move beyond reporting numbers and explain what happened, why it happened, and what actions should be taken.
• Strong communication, presentation, and stakeholder management skills.