Business Analyst

5 days ago
Quezon City National Capital Region, 00, Philippines Philippine Batteries Incorporated Full-time
Key Duties and

Responsibilities:
 Semantic and metric layer
- Define metric views, semantic models, KPI logic and business glossaries as the single certified definition of each measure.
- Create, improve and expand the scope of context and the Ontology for Genie.
- Prevent conflicting calculations across dashboards, Genie Spaces, reports and AI applications. Decision products
- Build and optimize executive dashboards, operating dashboards and self-service analytical products.
- Create and manage automated, AI-ready dashboards that require no manual refresh or manual reconciliation.
- Design for the decision being made, not for the data that happens to be available. Evaluation and trust
- Establish benchmark question sets, evaluation datasets, accuracy thresholds and usage monitoring for Genie Spaces and natural-language analytics.
- Test and publish answer accuracy, and remediate where accuracy falls below threshold.
- Monitor adoption and retire or rebuild products that are not used. Business partnership
- Work with Data & AI Translators and business experts to encode definitions, exceptions, decision rules and narrative context.
- Support user enablement and self-service capability building. Key Deliverables
- Certified KPI and metric definitions and the enterprise business glossary.
- Semantic models and the Genie ontology.
- Production dashboards and self-service analytical products.
- Evaluated Genie Spaces with published accuracy benchmarks.
- Adoption and usage metrics. Accountability and Success Measures
- Metric consistency across every consumption channel.
- Accuracy of natural-language and AI-generated answers within the assigned scope.
- Analytical usability and decision relevance of delivered products.
- User adoption of dashboards and self-service tools.
- Currency of definitions as the business changes. Working Relationships
- Internal: Data Engineers; Data & AI Translators; Data Scientists; AI / LLM Engineers; Data Governance Specialist; business owners; BI & Context Engineering Capability Head.
- External: platform vendor support. Qualifications.
- Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, Business Analytics or a related field.
- Three or more years in business intelligence, semantic modelling or analytics engineering. Demonstrated ownership of enterprise metric definitions. Experience with natural-language analytics or LLM-based query interfaces is a strong advantage.
- Preferred: Power BI Data Analyst Associate, Databricks fundamentals. Optional: dbt or analytics engineering certification. Technical Skills
- Advanced SQL; dimensional and semantic modelling.
- Power BI, including semantic models, DAX and performance optimization.
- Databricks, Unity Catalog metric views and Genie Spaces.
- Ontology and business-glossary design.
- Evaluation design for natural-language analytics — benchmark sets, accuracy measurement, regression testing.
- Visualization and dashboard design principles.
- Python for evaluation and automation is an advantage.

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