Looker / Look ML Expert
Responsibilities:
• Rebuild legacy reporting assets in Looker by translating existing logic into reliable, user-friendly dashboards and data experiences.
• Create and refine LookML structures, including explores, dimensions, measures, and joins, to support scalable analytics and consistent reporting outcomes.
• Interpret complex SQL-based reporting rules and transform them into well-organized semantic models aligned with business needs.
• Partner with stakeholders to understand source data within a Google Cloud environment and apply that understanding to effective BI design.
• Evaluate current reports to identify ways to strengthen performance, improve usability, and support future growth within Looker.
• Test and reconcile migrated reporting outputs to confirm alignment with prior results and maintain confidence in data accuracy.
• Diagnose and resolve issues related to Looker, LookML, SQL queries, and underlying data models in a timely manner.
• Lead practical knowledge-sharing sessions that help business users and technical team members become more confident using Looker and LookML.
• Produce clear documentation, standards, and development guidance to support long-term maintenance and enhancement of the reporting environment.
Qualifications:
• 5+ years of experience in business intelligence, analytics engineering, or a closely related field.• Advanced expertise in Looker and LookML, with a strong track record of building robust semantic models and dashboards.
• Proven success converting existing reporting solutions into Looker while preserving business logic and reporting accuracy.
• Strong SQL skills, including experience with complex joins, aggregations, and query optimization.
• Solid understanding of data modeling principles and business intelligence architecture.
• Experience working with Google Cloud Platform or a comparable cloud-based data environment.
• Ability to work independently, prioritize effectively, and deliver results quickly in a short-term engagement.
• Strong communication skills with experience training end users and technical teams.
Compensation
$65.00-$75.00 HourlyAbout Us
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