BI Engineer at UL Solutions — Makati City, Philippines

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About The Role

Translate business questions, reporting requirements, and KPI definitions into scalable Power BI solutions and reusable semantic models.
Design and develop Power BI datasets, semantic models, dashboards, scorecards, paginated reports, and complex interactive reports.
Build dimensional models, relationships, calculation groups, hierarchies, field parameters, measures, and business-friendly reporting layers.
Develop advanced DAX, Power Query, SQL, and reusable BI patterns for accurate, performant analytics.
Create intuitive report experiences using drill-through, bookmarks, dynamic filtering, navigation, conditional formatting, and effective visualization design.
Tune model and report performance using query reduction, aggregations, source optimization, model design, and refresh optimization.
Validate data, reconcile metrics, investigate discrepancies, and partner with data engineering teams to resolve upstream data issues.
Configure row-level security, object-level security, workspace access, deployment pipelines, endorsements, sensitivity labels, and lifecycle controls.
Monitor refreshes, usage, performance, adoption, and production issues; document metric definitions, model design, lineage, dependencies, and support procedures.

Education & Experience
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Mathematics, or a related discipline, or equivalent combination of education and experience.
3+ years of experience in Power BI development, including semantic layer design, data modeling, dataset development, dashboard creation, reporting, and enterprise analytics solutions.
Experience designing, developing, and supporting governed self-service analytics and business intelligence solutions.
Technical Skills
Advanced Power BI expertise, including semantic models, datasets, dashboards, reports, DAX, Power Query, deployment pipelines, refresh management, performance optimization, and visualization design.
Strong SQL skills for data profiling, validation, metric reconciliation, troubleshooting, and working with warehouse, lakehouse, or enterprise data platforms.
Strong understanding of dimensional modeling, star schemas, semantic layers, aggregations, KPI development, and analytics-ready data products.
Experience implementing row-level security (RLS), workspace governance, access controls, certified datasets, lineage tracking, and secure analytics delivery.
Familiarity with Microsoft Fabric, Azure data services, Snowflake, data warehouses, lakehouses, or comparable cloud-based data platforms.
Solid understanding of data visualization best practices and user-centric dashboard design.
Professional Skills
Strong ability to translate complex data into actionable insights and compelling business stories.
Demonstrated business acumen with an inquisitive mindset and passion for uncovering meaningful insights.
Excellent analytical thinking, problem-solving, and attention to detail.
Strong stakeholder management and communication skills, with the ability to collaborate effectively across business and technical teams.
Ability to train, coach, and facilitate learning sessions for analytics authors, report developers, and business consumers.
Continuous learning mindset with a commitment to adopting new technologies, tools, and analytics best practices.