Analytics Engineer: Build Trusted Data & BI Insights

Cloudstaff Philippines Inc.

Philippines

Remote

PHP 900,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid time off
Flexible leave credits
WFH perks

Job summary

Cloudstaff Philippines Inc. is seeking an Analytics Engineer to build trusted datasets, develop scalable data models, and transform raw data into actionable insights. You will maintain data quality and governance, and optimize SQL models and analytics workflows to support reporting and business decisions.

The role requires 3+ years in analytics/data engineering and hands-on experience with SQL, dbt, Snowflake or BigQuery, plus BI tools like Power BI, Tableau, or Looker.

Qualifications

  • 3+ years analytics engineering or data engineering experience.
  • Advanced SQL and data modeling expertise.
  • Experience with dbt, Snowflake, Fabric, or BigQuery.
  • Knowledge of ETL/ELT and analytics best practices.
  • Experience with Power BI, Tableau, or Looker.
  • Strong business acumen and stakeholder communication skills.
  • Understanding of data governance and quality management.

Responsibilities

  • Build trusted datasets supporting reporting and business insights.
  • Develop scalable data models for analytics consumption.
  • Transform raw data into actionable business intelligence.
  • Maintain data quality and governance standards.
  • Optimize SQL models and analytics workflows.

Skills

Analytics engineering
Advanced SQL
dbt
Snowflake
BigQuery
ETL/ELT
Power BI
Tableau
Looker
Stakeholder comms

Tools

Power BI
Tableau
Looker

Job description

Cloudstaff Philippines Inc. is seeking an Analytics Engineer to build trusted datasets, develop scalable data models, and transform raw data into actionable insights. You will maintain data quality and governance, and optimize SQL models and analytics workflows to support reporting and business decisions.

The role requires 3+ years in analytics/data engineering and hands-on experience with SQL, dbt, Snowflake or BigQuery, plus BI tools like Power BI, Tableau, or Looker.

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