Analytics Engineer

apartmentDev Partners placeDavao scheduleFull-time calendar_month 

We’re Hiring: Mid-level Analytics Engineer - 100% Remote

We’re looking for detail-driven Analytics Engineers to join a growing data team. You’ll be shaping analytics-ready datasets that fuel business intelligence dashboards and reports—helping stakeholders make smarter, data-backed decisions. If SQL is your language and turning raw data into insights excites you, we’d love to hear from you.

?♂️ What You’ll Be Doing
  • Develop and maintain analytics-ready datasets to power BI dashboards and reports
  • Write optimized SQL queries for data cleaning, transformation, and metric development
  • Design scalable data models (e.g., star schemas, snowflake schemas)
  • Collaborate with analysts, engineers, and business teams to translate requirements into data solutions
  • Partner with data engineers to ensure pipelines are reliable and high-performing
  • Build and maintain BI dashboards and reports using Looker, Power BI, or Tableau
  • Ensure data quality through testing, documentation, and version control
  • Support data governance with structured data definitions and clear documentation
✅ What We’re Looking For
  • At least 3 years of experience as an Analytics Engineer
  • Proficiency in SQL for complex data transformations and calculations
  • Experience building analytics-ready tables and datasets for reporting
  • Solid understanding of data modeling concepts such as star schema
  • Experience with Looker or similar BI tools (e.g., Power BI, Tableau)
  • Excellent communication and collaboration skills.
⭐ Bonus Points For
  • Proven ability to work in cross-functional data teams
  • Familiarity with data governance best practices
  • Knowledge of advanced BI features and custom visualizations
  • Work Schedule
  • 8:00 AM – 5:00 PM Philippine Time
  • What You’ll Get
  • Above-market compensation
  • Long-term growth opportunities (with possible contract extension)
  • A direct role in shaping data-driven decision-making
  • Access to modern tools and a collaborative data-driven culture
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