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BI Consultant (Google Looker / LookML / Looker Studio)
Experience: 8+ Years
Location: Remote
Employment Type: Full-Time
We are seeking an experienced BI Consultant with deep, hands-on expertise in Google Looker, LookML, and Looker Studio. The ideal candidate will be responsible for designing scalable semantic models, developing high-quality dashboards, and transforming complex business data into actionable insights. This role requires strong collaboration with cross-functional teams, excellent analytical ability, and a solid understanding of modern cloud data platforms.
Design, develop, and maintain LookML models, explores, and reusable components to support scalable and governed analytics.
Build interactive dashboards, reports, and visualizations in Looker and Looker Studio tailored to business needs.
Create and optimize semantic data models ensuring consistency, reliability, and long-term maintainability.
Collaborate with data engineering and business teams to define requirements, translate analytical needs, and ensure high-quality data delivery.
Perform data validation, testing, and QA to ensure accuracy and performance of LookML and dashboards.
Optimize Looker queries, model structures, and BI performance across large datasets.
Manage version control workflows (Git) and follow structured development and deployment processes.
Work with cloud data warehouses such as BigQuery, Snowflake, or Redshift to design and integrate data structures.
Troubleshoot issues across modeling, data pipelines, and visualization layers.
8 years of overall BI experience with proven hands-on expertise in Google Looker, LookML, and Looker Studio.
Strong knowledge of SQL, relational data structures, and analytical data modeling.
Experience building scalable LookML semantic layers and maintaining governed datasets.
Solid understanding of cloud data warehouses (BigQuery preferred; Snowflake/Redshift is a plus).
Proficient with Git-based version control and collaborative development workflows.
Strong analytical, debugging, and performance optimization skills.
Ability to translate business requirements into effective BI solutions.
Excellent communication and stakeholder-management skills.
Experience with dbt, BigQuery ML, or other modern data stack technologies.
Background in data engineering or advanced SQL optimizations.
Knowledge of data governance and enterprise BI architectures.
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