Senior Data Analyst

Shopee • Commerce • Bachelor's Degree • Python • SQL • Tableau • Power BI • 2 hours ago
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Salary
≈ $16k – $35k per year (Estimated)
Location
In office (Manila)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Commerce • Est. 2015
  • Collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities.
  • Prepare comprehensive reports and presentations that effectively communicate key findings and recommendations to stakeholders.
  • Conduct thorough assessments to identify data-related issues impacting business processes and operational efficiency. Identify and propose improvements to existing processes, methodologies, and tools to enhance analytical capabilities.
  • Develop and implement comprehensive data strategies - including ad hoc reports, data standardization, data cleaning, and process automation - that ensure data accuracy, accessibility, and integrity.
  • Perform statistical analysis and modeling to uncover trends, patterns, and insights.
  • Develop and maintain data models, dashboards, and visualizations to facilitate data-driven decision-making.
  • Collaborate with the Mall Acquisition, Incubation, and Offsite teams to understand their requirements and provide proactive analytical support.
  • Conduct research and gather market intelligence to stay informed about industry trends and competitive landscapes.
  • Bachelor's Degree in relevant fields such as Business Management, Industrial Engineering, Statistics, Management Engineering or its equivalent
  • 5+ years in data analysis, preferably in a business or marketing analytics role
  • Proficiency in data analysis tools and programming languages such as Excel, SQL, Python, or R
  • Knowledge of data visualization tools such as Tableau, Power BI, or similar
  • Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable insights
  • Proven ability to work independently and navigate cross-functional teams
  • Excellent communication and presentation skills with the ability to translate technical insights into business impact
  • Highly organized, detail-oriented and adaptable in fast-paced environments
  • Data-driven mindset with a strong focus on performance and results
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