Makati City, National Capital Region, Philippines
Live, first seen by us 28 days agoDesign Power BI semantic models, datasets, dashboards, and paginated reports
Build dimensional models, measures, calculation groups, and hierarchies
Tune model and report performance, refreshes, and aggregations
Validate data, reconcile metrics, and resolve upstream issues with data engineers
Configure row-level security, workspace access, and deployment pipelines
Design and develop Power BI datasets, semantic models, dashboards, scorecards, paginated reports
Build dimensional models, relationships, calculation groups, hierarchies, field parameters, measures
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
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Mathematics, or a related discipline, or equivalent combination of education and experience.
Strong SQL skills for data profiling, validation, metric reconciliation, troubleshooting, and working with warehouse, lakehouse, or enterprise data platforms.
Strong ability to translate complex data into actionable insights and compelling business stories.
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.
Strong understanding of dimensional modeling, star schemas, semantic layers, aggregations, KPI development, and analytics-ready data products.
Ability to train, coach, and facilitate learning sessions for analytics authors, report developers, and business consumers.
- 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.
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Day 28
Similar jobs usually come down between day 6 and day 48.
At UL Solutions, jobs usually come down by about day 29.
From 1,457 similar postings that came down, and 8 of UL Solutions’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Makati City, National Capital Region, Philippines
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.