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Total-TECH Co. is seeking an experienced BI Engineer in Jeddah, Saudi Arabia. The ideal candidate will design and maintain LookML models, develop interactive dashboards, and enable self-service BI for business users. The role demands at least 5 years of relevant experience and strong SQL skills, with hands-on expertise in Looker.
You'll also collaborate with Data Engineers and business stakeholders to ensure accurate data models and effective analytics solutions. A Bachelor's degree in a relevant field is required. We offer a dynamic environment with opportunities for continuous improvement of BI practices.
Design and maintain LookML models (views, explores, derived tables).
Define consistent business metrics, dimensions, and calculations.
Implement reusable measures, joins, and aggregate awareness.
Optimize semantic models for performance and usability.
Align semantic definitions with data engineering and business stakeholders.
Governed LookML semantic models aligned to business domains.
Certified explores with standardized metrics and dimensions.
Metric definitions and business logic documentation.
Semantic layer performance optimization artifacts.
Design and develop interactive Looker dashboards and reports.
Translate business requirements into clear, actionable visualizations.
Apply visualization best practices for usability and storytelling.
Implement dashboard filters, drill‑downs, and user‑level access.
Maintain and enhance existing dashboards based on feedback.
Production‑ready Looker dashboards and reports.
Dashboard design standards and templates.
Enable business users with the tool to explore data using certified Looker explores.
Design user‑friendly semantic models to reduce ad‑hoc SQL dependency.
Provide training, demos, and best‑practice guidance to users.
Define data governance guardrails for self‑service analytics.
Self‑service‑ready Looker explores with certified fields.
User enablement materials (how‑to guides, training decks).
Reduced ad‑hoc reporting backlog.
Adoption metrics and usage insights.
Write and optimize complex SQL queries for analytics use cases.
Validate data accuracy, aggregations, and business logic.
Partner with Data Engineers to optimize tables, partitions, and models.
Troubleshoot data discrepancies and performance issues.
Optimized SQL logic supporting Looker models and dashboards.
Query validation and reconciliation results.
Monitor dashboard performance, usage, and failures.
Maintain Looker content lifecycle (dev → prod).
Implement access controls and content organization.
Continuously improve models and dashboards based on usage analytics.
Stable, performant Looker environment.
Usage and adoption reports.