BI Analytics Engineer: Power BI, ETL & Data Insights

Support Services Group; Metro Manila; On-site; PHP 500,000 - 900,000; Full time

Job summary

Support Services Group is seeking a BI Analyst / Developer to build end-to-end BI solutions using the Microsoft data stack. You will design dashboards, automate reporting, and drive business performance through data insights.

Collaborate with Operations, QA, and Workforce Management to define KPIs, ensure data quality, and deliver scalable ETL/ELT pipelines with Power BI, SQL Server, Python, and SSIS.

Qualifications

• 2+ years of hands-on BI or data analytics experience.
• Strong experience with Power BI, Microsoft Fabric, SQL Server (T-SQL), Python, SSIS, and SSRS/Power BI Report Builder.
• Solid understanding of ETL/ELT processes, data modeling, and BI architecture.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's degree in Computer Science, Information Systems, Analytics, or a related field (or equivalent experience).

Responsibilities

• Design and maintain BI solutions using Microsoft Fabric, Power BI, SQL Server, Python, and SSIS.
• Build automated ETL/ELT pipelines and integrate data from multiple sources.
• Develop interactive Power BI dashboards and optimize data models using DAX and Power Query.
• Automate reporting and data processes using Python and Microsoft tools.
• Collaborate with stakeholders to define KPIs, troubleshoot data issues, and support business decisions.
• Ensure data quality, governance, security, and reporting standards.

Skills

ETL/ELT

Data modeling

BI architecture

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Analytics, or related field

Tools

Power BI

Microsoft Fabric

SQL Server (T-SQL)

Python

SSIS

SSRS/Power BI Report Builder

Job description

Support Services Group is seeking a BI Analyst / Developer to build end-to-end BI solutions using the Microsoft data stack. You will design dashboards, automate reporting, and drive business performance through data insights.

Collaborate with Operations, QA, and Workforce Management to define KPIs, ensure data quality, and deliver scalable ETL/ELT pipelines with Power BI, SQL Server, Python, and SSIS.