AI Context & BI Engineer: Semantic Analytics & Dashboards

Hammerjack Pty Ltd; Philippines; On-site; PHP 1,000,000 - 1,400,000; Full time

Job summary

Hammerjack Pty Ltd seeks an experienced analytics engineer to define metric views and semantic models, building scalable dashboards and AI-ready analytics products. You will collaborate with Data & AI Translators and business experts to codify definitions and decision rules within the Genie ontology.

You will ensure accurate NLP-driven answers, monitor adoption, and continuously improve dashboards and self-service capabilities across enterprise datasets.

Qualifications

• Bachelor's degree in a related field is required.
• Three or more years in business intelligence, semantic modelling or analytics engineering.
• Experience with natural-language analytics or LLM-based query interfaces is a strong advantage.
• Power BI/Data Analytics credentials (preferred) or relevant certifications.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Produce certified KPI and metric definitions and the enterprise business glossary.
• Develop semantic models and the Genie ontology.
• Deliver production dashboards and self-service analytical products.
• Evaluate Genie Spaces with published accuracy benchmarks.
• Track adoption and usage metrics.

Skills

BI analytics

Semantic modelling

Analytics engineering

Natural-language analytics

LLM interfaces

Education

Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, Business Analytics or a related field

Tools

Power BI

Databricks

Unity Catalog

Genie Spaces

DBT

Python

SQL

Job description

Hammerjack Pty Ltd seeks an experienced analytics engineer to define metric views and semantic models, building scalable dashboards and AI-ready analytics products. You will collaborate with Data & AI Translators and business experts to codify definitions and decision rules within the Genie ontology.

You will ensure accurate NLP-driven answers, monitor adoption, and continuously improve dashboards and self-service capabilities across enterprise datasets.