Remote Analytics Engineer: Data Modeling & Dashboards

Bridge33 Capital; Philippines; Remote; PHP 900,000 - 1,300,000; Full time

Job summary

Bridge33 Capital is seeking an Analytics Engineer to build and maintain datasets powering decision-making across the business. You’ll model data from property management and accounting systems into clean sources of truth, and deliver dashboards and AI connectors that stakeholders rely on.

This hands-on role sits in a small, fast-moving team. You’ll tackle end-to-end challenges—from messy source systems to dbt modeling, data quality, and clear storytelling in English for a US-based audience.

Qualifications

• Strong SQL with advanced transformations and data modeling.
• Python for scripting, automation, and tooling.
• Git/GitHub/CI‑CD workflows and modern development practices.
• Experience building dashboards for business stakeholders (Power BI/Tableau/Looker).
• Excellent written and spoken English; comfortable with async collaboration.

Responsibilities

• Design, build, and maintain dbt data models as trusted sources of truth.
• Write optimized, well-tested SQL across the data platform.
• Understand data sources (property management, accounting, ops) and model them.
• Create dashboards and reports with stakeholders to answer questions with data.
• Write and run Python scripts to automate workflows and data movement.
• Follow Git/GitHub, CI/CD, docs, and data quality testing practices.
• Monitor and improve data quality to catch issues early.

Skills

SQL

Python scripting

Git CI/CD

Dashboards

English communication

Tools

Power BI

Tableau

Looker

dbt

Databricks

Snowflake

Fivetran

Airflow

Dagster

Job description

Bridge33 Capital is seeking an Analytics Engineer to build and maintain datasets powering decision-making across the business. You’ll model data from property management and accounting systems into clean sources of truth, and deliver dashboards and AI connectors that stakeholders rely on.

This hands-on role sits in a small, fast-moving team. You’ll tackle end-to-end challenges—from messy source systems to dbt modeling, data quality, and clear storytelling in English for a US-based audience.