Analytics Engineer (Finance & Marketing)

About the role

You\'ll build the analytics layer for Finance and Marketing & Growth, shaping how analytics engineering scales as the team and data volume grow.

Key responsibilities

• Build the semantic layer for Finance\'s reporting, turning business logic into reliable gold‑layer datasets.
• Develop the analytics layer for Marketing & Growth, enabling self‑service reporting on acquisition, funnels, and campaign performance.
• Design and maintain dbt models (staging, intermediate, marts) with tests, documentation, and reusable macros.
• Create scalable data models in Databricks silver and gold layers using dimensional modeling.
• Support other analysts by optimizing data models and defining analytics engineering standards.

Required profile

• Strong SQL expertise, including complex queries, window functions, and query optimization on large datasets.
• Hands‑on experience with dbt (models, macros, tests, documentation, CI workflows).
• Experience with dimensional modeling (3NF/Inmon, star schema, or anchor modeling).
• Experience building semantic layers or maintaining a single source of truth for business metrics.
• Experience in banking or fintech is a plus.

Required skills

• SQL
• dbt
• Dimensional modeling
• Databricks
• Git

What we offer

• Stock option plan – four‑year vesting with a 25% cliff after the first year.
• Remote‑first role with collaboration hours from 10:00 Manila time (UTC+8).
• Company‑provided tools and equipment.
• Health and time off, medical insurance support for you and your family.
• 22 vacation days, Philippine public holidays, and 15 sick days.
• Opportunities for learning, conferences, internal meetups, and company‑sponsored trips to Manila.
• Regular team offsites, sports activities, and a dedicated beach house week for high‑performing teams.
• Equal opportunity employer.