Business Intelligence Analyst

1 day ago

Manila, National Capital Region, Philippines Shopee Full time

Department

LevelExperienced (Individual Contributor)

LocationPhilippines - Manila

Job Description:

Provide analytics support across multiple business teams by delivering ad-hoc analysis, maintaining core reports and scorecards, and preserving business context and metric definitions to ensure consistent understanding and decision-making across stakeholders.

Analysis & Reporting Delivery

  • Step into different business areas and quickly understand business context, key KPIs, and existing analytical workflows.
  • Reconstruct context from available documentation, datasets, dashboards, and stakeholder inputs.
  • Deliver timely analysis to support decisions for business team leaders/managers.
  • Clarify the request's decision purpose, assumptions, and limitations; propose approaches when appropriate.
  • Maintain and improve core reports, dashboards, and scorecards used by business teams.
  • Ensure stability and consistency of metric definitions over time.

Stakeholder Management & Knowledge Preservation

  • Manage multiple stakeholder requests by aligning on scope, timelines, and expected outputs.
  • Proactively identify repeated requests suitable for standardization or templating to reduce future load.
  • Document data sources, SQL logic, assumptions, definitions, and known issues for recurring outputs.
  • Prepare handover materials and transfer ownership of reports/scorecards when needed

Requirements:

  • Bachelor's degree in a quantitative field (e.g., Economics, Business, Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience
  • Has 2–5 years in analytics / BI / business analysis / ops analytics
  • Has experience supporting multiple stakeholders or rotating across domains (e.g., shared services, consulting, operations analytics) is strongly preferred
  • Hands-on experience building and maintaining recurring reports/scorecards and delivering ad-hoc analyses
  • High adaptability: rapid context switching and fast ramp-up in new domains
  • Strong written/verbal communication: ability to translate ambiguous questions into clear analytical work and explain results to non-technical stakeholders
  • Strong SQL and data wrangling skills; ability to work independently with large datasets
  • Solid analytical fundamentals: descriptive analysis, driver/root-cause analysis, cohort/funnel style thinking as applicable
  • Practical BI/reporting skills (e.g., dashboards, scorecards, automated reporting) and comfort maintaining existing assets

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