Hybrid BI Specialist — Power BI & Azure Leader

Inchcape; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid or remote work arrangements

HMO coverage with dependents included

Birthday leave

Job summary

Inchcape is seeking a BI Specialist in the Philippines to design and deliver enterprise-grade BI solutions using Power BI and Azure analytics services. This hands-on role combines technical delivery with leadership exposure and mentorship.

You will lead development, collaborate with data engineering teams, and translate business requirements into actionable delivery plans, while fostering measurable value for the organization.

Qualifications

• Bachelor’s degree in a relevant field; certifications in Power BI/Azure are a plus.
• 4–6 years of BI delivery experience handling complex datasets/projects.
• Strong stakeholder engagement and communication skills; problem-solving oriented.

Responsibilities

• Design and deliver scalable BI solutions aligned with business goals and standards.
• Build and optimize Power BI datasets, reports, and semantic models.
• Lead complex BI initiatives with development coordination and peer reviews.
• Collaborate with data engineering teams using Azure Data Factory and Databricks.
• Translate business requirements into technical designs and delivery plans.
• Mentor junior team members through coaching and hands-on support.
• Partner with stakeholders to deliver data solutions that drive value.

Skills

Power BI

Azure analytics

BI governance

Power Platform

REST APIs

Stakeholder engagement

BI delivery (4-6 yrs)

Education

Bachelor’s degree in a relevant field

Power BI/Azure certifications

Tools

Azure Data Factory

Databricks

REST APIs

Job description

Inchcape is seeking a BI Specialist in the Philippines to design and deliver enterprise-grade BI solutions using Power BI and Azure analytics services. This hands-on role combines technical delivery with leadership exposure and mentorship.

You will lead development, collaborate with data engineering teams, and translate business requirements into actionable delivery plans, while fostering measurable value for the organization.