Data Analytics\
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Experience: 3-8 years\
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Overview: \
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To develop semantic models, dashboards, and governed analytics layers on BigQuery.\
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Key Responsibilities: \
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Build LookML views, explores, PDTs.\
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Design semantic models.\
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Optimize dashboards and enable self-service.\
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Implement RBAC and metadata practices.\
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Required Skills: \
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3+ years in LookML and Looker.\
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Solid SQL and modeling skills.\
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Familiar with BigQuery backend.\
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Preferred Qualifications: \
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Looker certifications.\
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Experience with semantic governance
Key Responsibilities
Develop and maintain LookML models, including views, explores, and Persistent Derived Tables (PDTs). Design and implement semantic data models for analytics and reporting. Build and optimize interactive dashboards for performance and usability. Enable self-service analytics for business users. Implement Role-Based Access Control (RBAC) and maintain proper data governance practices.
Manage metadata and data definitions for consistency and accuracy. Collaborate with stakeholders to translate business requirements into analytics solutions. Ensure scalability and performance of analytics solutions on BigQuery.
Skill Requirements
Minimum 3+ years of experience in Looker and LookML development. Strong proficiency in SQL and data modeling techniques. Experience working with Google BigQuery or similar data warehouses. Knowledge of dashboard optimization and performance tuning. Understanding of data governance, RBAC, and metadata management. Analytical thinking with the ability to convert business needs into technical solutions.
Other Requirements
Preferred: Looker certifications. Experience in semantic layer governance and best practices. Good communication and stakeholder management skills. Ability to work in a fast-paced, data-driven environment. Strong problem-solving and attention to detail.
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