Salary
≈ $12k – $29k per year (Estimated)
Location
In office (Makati)
Seniority
Middle · 3+ years exp
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 8, 2026. UL Solutions scores A on the Alion truth index.
Overview
Company
Impact
Profile match
UL Solutions is a safety science company headquartered in Northbrook, Illinois, that provides product testing, inspection and certification services, plus software and advisory services, for manufacturers in automotive, energy, building products, chemicals, consumer goods and electronics. Its heritage dates to 1894, when William Henry Merrill founded the organization now split into UL Solutions, UL Standards & Engagement and UL Research Institutes; UL Solutions listed on the New York Stock Exchange in 2024. It hires project and laboratory engineers, laboratory technicians, auditors, cybersecurity consultants, sales executives and interns, with large hiring in Northbrook and East Asia.
- 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.
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