Technology

Data Analyst

LocationManila, PhilippinesFull-time

About the role

You'll be part of a high-impact analytics team responsible for turning data into decisions across the business.

You'll work closely with the Data Lead and cross-functional stakeholders to help establish a scalable, well-governed analytics practice.

Key Responsibilities:

  • Assist in defining and maintaining canonical business metrics.
  • Build, maintain, and improve dashboards and reports across key business domains.
  • Own curated datasets and data marts used for reporting, ensuring data is clean, structured, and easy to consume.
  • Write SQL queries to extract, transform, and validate data from the warehouse.
  • Conduct data analysis to support business decisions and address key questions across the organization.
  • Validate pipeline and model outputs to ensure numbers reflect real-world operations.
  • Work closely with cross-functional stakeholders to prioritize and fulfill data requests.
  • Educate stakeholders on metrics and data interpretation.
  • Document metrics, data definitions, and dashboard logic as part of the team's data dictionary.
  • Rebuilding and rationalizing the dashboard suite against new ClickHouse data marts.
  • Defining and documenting canonical business metrics across the organization
  • Supporting self-serve analytics rollout to select stakeholder teams.

Skills:

  • Experience in a data analyst or similar role.
  • Proficient in SQL — comfortable writing queries, joining tables, and troubleshooting data issues independently.
  • Experience building and maintaining dashboards in a BI tool.
  • Ability to communicate findings clearly to non-technical stakeholders.
  • Strong attention to detail and comfort working with ambiguous or imperfect data.

Qualifications:

  • Experience with BigQuery or ClickHouse.
  • Familiarity with Google Sheets for data manipulation and reporting.
  • Exposure to data modeling concepts (marts, dimensions, facts).
  • Experience in F&B, retail, or consumer apps.
  • Basic Python for ad hoc analysis or automation.

Job Type

Employee status : Full-time

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