E-Commerce Data Analyst

5 days ago

Taguig, National Capital Region, Philippines Red Selvage International Corp Full time ₱900,000 - ₱1,200,000 per year
About the Role

As a Data Analyst in a fast-growing e-commerce enabler for fashion retail brands, you will play a vital role in turning complex data into actionable insights that support real-time decision-making, campaign performance, inventory planning, and sales optimization. You will work closely with cross-functional teams (sales, operations, content, and marketing) to ensure that business decisions are backed by accurate, timely, and meaningful data—critical in the fast-paced and ever-evolving world of online fashion.

The ideal candidate is independent, resourceful, and comfortable working in a start-up environment where agility and initiative are key to success.


Key Responsibilities
  • Extract, clean, consolidate, and organize large datasets from multiple e-commerce platforms (Lazada, Shopee, Zalora, Shopify) and internal tools
  • Develop intuitive and visual dashboards, infographics, and reports for tracking brand and campaign performance
  • Translate raw data into strategic insights and trends to support decision-making by top management
  • Monitor and report key performance indicators (KPIs) such as GMV, sell-through, inventory velocity, ad performance, and conversion rates
  • Perform regular and ad-hoc reporting using SQL, Excel, and BI tools (e.g., Looker Studio, Power BI, Tableau)
  • Drive automation of reporting pipelines to reduce manual work and ensure data integrity
  • Collaborate with e-commerce operations, content, and marketing teams to optimize campaign strategies and improve performance
  • Respond to complex ad-hoc data requests with precision, speed, and accuracy
  • Analyze consumer behavior, sales trends, and product performance to help brands stay agile in a competitive landscape
  • Contribute to the design of data models and develop scalable reporting frameworks suitable for high-volume retail operations
  • Assist in building a data-driven culture by promoting best practices in analytics across teams

Skills and Qualifications
  • Bachelor's degree in Statistics, Data Science, Computer Science, Information Management, or any related quantitative field
  • At least 1–3 years of relevant experience in data analysis, preferably in e-commerce, fashion retail, or digital marketing
  • Strong proficiency in Excel/Google Sheets and data manipulation tools
  • Experience with SQL is required; familiarity with Python or R is a plus
  • Ability to synthesize large volumes of data into clear, actionable reports and visuals
  • Proficiency in data visualization tools (e.g., Looker Studio, Power BI, Tableau)
  • Strong business acumen and an understanding of e-commerce operations and performance metrics
  • Excellent analytical and critical-thinking skills
  • Effective communication and presentation skills, with the ability to simplify complex findings for non-technical stakeholders
  • Highly organized and able to manage multiple priorities in a fast-paced environment
  • Must be able to work independently and thrive in a start-up or high-growth business setup

Preferred Traits
  • Passionate about fashion, retail trends, and digital commerce
  • Results-driven, proactive, and collaborative
  • Strong sense of ownership and attention to detail

Adaptable and quick to respond to changing priorities and business needs

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