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Analytics Engineer

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Onsite

Analytics Engineer

Philippine Batteries Incorporated

Analytics Engineer

Skills

SQL QueriesData EngineeringTableauData VisualizationSnowflakeGitData AnalysisdbtTalendApache AirflowPower BI

12 days ago

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Important information


Contract type:

Permanent

Location:

Santa Maria, Pangasinan, Philippines

Work mode:

Onsite

Published on:

8 October 2026

What they need


Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes for reporting and analytics.
  • Develop, optimize, and maintain data models within the company’s data warehouse or cloud data platform.
  • Transform raw operational data into clean, reliable, and well-documented datasets.
  • Collaborate with business analysts, data scientists, and business users to understand reporting requirements and translate them into effective data solutions.
  • Implement data validation, testing, and monitoring processes to ensure data accuracy, quality, and reliability.
  • Support data architecture and data governance initiatives across the organization.
  • Develop and manage data transformation workflows using SQL and analytics engineering tools such as dbt.
  • Provide structured and accessible datasets to support reporting, dashboards, and ad hoc analytics.
  • Maintain proper documentation of data models, pipelines, and workflows to ensure consistency and reproducibility.
  • Stay updated on industry best practices, tools, and technologies in data engineering, analytics engineering, and modern data platforms.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.
  • At least 2–4 years of experience in data engineering, analytics engineering, business intelligence development, or a related role.
  • Proficient in SQL and experienced in working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Experience with ETL/ELT tools such as dbt, Airflow, Talend, or similar platforms.
  • Strong understanding of data modeling, data warehousing, and modern data stack concepts.
  • Familiarity with data visualization tools such as Power BI or Tableau.
  • Experience with Git or other version control tools is preferred.
  • Knowledge of data governance, data quality practices, and data architecture is preferred.
  • Experience supporting business reporting, dashboards, and analytics is preferred.
  • Strong analytical and problem-solving skills with keen attention to detail and data accuracy.
  • Ability to communicate technical data concepts clearly to non-technical stakeholders.
  • Strong collaboration skills and ability to work effectively with cross-functional teams.

Benefits:

  • Free parking
  • Life insurance
  • On-site parking

Work Location: In person

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