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# Google Lookr Analytics Engineer/Developer

- **Company:** Radyant Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Airflow, Business Analytics Applications, Data Analysis, BigQuery, Cloud Database, Code Review, Databases, Continuous Integration, Data Architecture, Data Transformation, Data Structures, Data Warehousing, Database Queries, Database Testing, Performance Tuning, Cloud Services, SQL Databases, Google Cloud, Sql Optimization, Snowflake, Data Build Tool (dbt), Git, Looker Analytics, Software Version Control, Data Pipelines, Api Management, Amazon Redshift
- **Published:** October 7, 2026
- **Apply:** https://www.dice.com/job-detail/43d03ead-d010-4fc0-a66b-6128e9dc26f3

## About the Role

Must-Have Skills & Experience

 * 3+ years of direct experience developing and administering Google Cloud Looker.
 * Expert proficiency in LookML (LookML views, explores, persistent derived tables, liquid syntax, and Git integration).
 * Strong SQL skills (complex joins, CTEs, window functions, and query performance optimization).
 * Solid understanding of data warehouse architectures (BigQuery, Snowflake, or Amazon Redshift) and dimensional data modeling (Kimball methodology, star/snowflake schemas).
 * Experience implementing version control (Git) for LookML development.

Nice-to-Have Skills

 * Experience with dbt (data build tool) for upstream data transformations.
 * Looker Certified LookML Developer or Looker Certified Business Analyst certification.
 * Familiarity with Python for data scripting or API integrations (e.g., using the Looker API/SDKs).
 * Experience with conversational analytics or Looker AI integrations (Looker Skills / GenAI endpoints).

Soft Skills & Mindset

 * Strong communication skills with the ability to translate technical concepts for business leadership.
 * High attention to detail regarding data accuracy and consistency.
 * Problem-solving mindset with a passion for building scalable, well-documented analytics tools.

## Description

The ideal candidate possesses deep hands-on expertise with LookML, advanced SQL, cloud data platforms (e.g., BigQuery, Snowflake, Redshift), and data modeling best practices., LookML Development & Data Modeling

 * Design, build, and optimize modular, scalable LookML models, views, explores, and dashboards.
 * Establish and manage a centralized semantic layer to maintain a single source of truth for business metrics across marketing, sales, product, and finance teams.
 * Implement advanced LookML patterns, including derived tables (persistent and native), liquid parameters, user attributes, and dynamic filtering.

Data Architecture & Analytics

 * Write complex, performant SQL queries and optimize underlying data model schemas in cloud data warehouses.
 * Collaborate with Data Engineers to design data pipelines (dbt/Airflow) that optimize data structures for Looker consumption.
 * Conduct performance tuning on Looker explores and queries to maintain fast dashboard load times and efficient database usage.

Governance, Security & Operations

 * Manage Looker system administration, including user roles, access controls, row-level security (PDTs/User Attributes), and Git version control integrations.
 * Establish best practices for LookML code review, CI/CD deployment workflows, and data testing/validation.
 * Audit and clean up unused dashboards, views, and explores to optimize system health.

Stakeholder Enablement

 * Translate complex business requirements into clear analytical tools, dashboards, and automated alerts/scheduled reports.
 * Empower self-service analytics by training non-technical business users on how to use Looker explores effectively.