Senior BI & Power Platform Developer

Manulife; Lapu-Lapu; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Manulife is seeking a Senior Data Analyst (Business Intelligence Developer) to design, develop, test, and deploy BI applications using Power Apps, Dataverse, SharePoint and Power BI. You will collaborate with business and technical teams to translate data needs into actionable dashboards and reports.

You will partner with users, product owners and data engineers to build dashboards, data models and connectors, ensuring metadata, data quality and security across BI solutions.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with Business Intelligence.
• At least 5+ years of hands-on experience developing BI solutions with Power BI, Qlikview, or QlikSense.
• Hybrid work arrangement: Amenable to onsite and remote work as needed.

Responsibilities

• Partner with users, product owners & data engineers to design, develop and maintain BI solutions (applications, dashboards, and interactive reporting).
• Design and develop Canvas and Model-Driven Apps using Microsoft Dataverse/SharePoint as backend.
• Build custom connectors and leverage Dataverse for data modeling and management.
• Translate business data needs into technical requirements and visualizations.
• Develop, test and maintain BI dashboards to high quality using Power BI, QlikView, QlikSense, Tableau.

Skills

Power Automate

Power BI

QlikView

QlikSense

Data modeling

ETL

SQL/Oracle

Agile SCRUM

Analytical mindset

Education

Bachelor’s degree in CS/Math/Statistics or related field

Tools

Dataverse

SharePoint

Power Apps

Power Automate connectors

Tableau

Job description

Manulife is seeking a Senior Data Analyst (Business Intelligence Developer) to design, develop, test, and deploy BI applications using Power Apps, Dataverse, SharePoint and Power BI. You will collaborate with business and technical teams to translate data needs into actionable dashboards and reports.

You will partner with users, product owners and data engineers to build dashboards, data models and connectors, ensuring metadata, data quality and security across BI solutions.