Business Intelligence Engineer

ibex


Date: 2 weeks ago
City: Mandaluyong City
Contract type: Full time
The BI Engineer will be responsible for designing, building, and maintaining scalable data solutions and dashboards that support strategic and operational decisions across the company. This role requires a mix of technical expertise in data modeling, visualization, and ETL pipelines, as well as strong business acumen to translate complex data into actionable insights for leadership and field teams.

Responsibilities

  • Build and manage ETL processes to consolidate data from multiple systems (e.g., CRM, ERP, scheduling platforms, customer databases).
  • Ensure data quality and governance by implementing best practices for data validation, documentation, and access control.
  • Develop, maintain, and optimize BI dashboards and reports to the business manage performance.
  • Work across operations, finance, marketing, and customer experience teams to define requirements and deliver insights that turn business goals into actionable, data-driven results.
  • Analyze business trends, identify opportunities for improvement, and provide insights to support strategic initiatives.
  • Support the adoption of BI tools and data literacy initiatives across the organization

Qualifications

  • Bachelor’s degree and 3+ years of experience as a BI Engineer, Data Analyst, or Data Engineer.
  • Experience with Python or other scripting languages for data transformation and ingestion.
  • Solid understanding of ETL processes and data modeling (e.g., star schema, snowflake, etc.).
  • Experience and knowledge of APIs and data ingestion across SaaS & business systems (e.g., CRM, ERP, Google Ads, Meta Ads, etc.).
  • Proficiency in SQL and experience working with relational databases (e.g., MS SQL Server, PostgreSQL, MySQL, etc.).
  • Experience with BI visualization tools (e.g., Looker Studio, Tableau, Power BI, etc.).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.

Preferred

  • Familiarity with Microsoft BI & cloud tools (e.g., Azure, Synapse, Fabric, Power BI, Power Apps, Power Automate).
  • Experience working in field services, HVAC, or home services industry is a plus.

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