Data Analytics Engineer

2 weeks ago

Taguig, Philippines Yondu, Inc. Full time

Overview

Data Analytics Engineer role at Yondu, Inc. Location: Taguig, National Capital Region, Philippines.

Responsibilities
  • SQL Proficiency for Analytics: Writes optimized queries to support BI workloads; uses window functions, CTEs, and subqueries for analytical transformations; tunes queries with a focus on speed for dashboards and reporting; adapts across SQL dialects (PostgreSQL, BigQuery, Snowflake, etc.).
  • Data Modeling & Warehousing: Designs star/snowflake schemas for BI use cases; balances Kimball (analytics-oriented) and Inmon (integration) approaches; optimizes partitioning and clustering for query efficiency (rather than compute efficiency).
  • BI Readiness & Reporting Support: Builds curated datasets for BI tools (Looker, Tableau, Power BI); collaborates with analysts to ensure usability of datasets.
  • Data Quality & Validation: Implements automated testing in dbt or similar; familiarity with observability tools; ensures trustworthiness of analytics-layer tables.
  • Pipeline Development (Analytics-Focused): Orchestrates workflows with dbt, Airflow, or Fivetran; manages ELT with emphasis on transformation in the warehouse.
  • Governance & Privacy (User-Facing Data): Implements data masking and role-based access control for analysts; ensures compliance at the analytics layer.
Minimum Qualifications

Education & Experience:
Bachelor’s degree in Business, Data Science, Information Systems, or related field; Master’s preferred; 3-5 years of experience in business analysis, data/analytics, or consulting roles with increasing scope; experience leading cross-functional data initiatives across multiple domains (e.g., marketing, operations, finance).

Preferred Certifications

Data visualization or analytics platform certifications (Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, Tableau Desktop Specialist, etc.). Data storytelling, product thinking, or stakeholder engagement training is a plus.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
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