Looker BI Analyst (100% Remote)

Job Description:

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Must have 5+ years of experience with implementing and managing BI platforms for business intelligence, data applications, and embedded analytics.

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Experience with Looker a cloud-based business intelligence (BI) platform designed to explore and analyze data.

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Must have 2 years of experience in developing LOOKML, Looker Dashboards and Look-Linked Tiles.

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Must have strong expertise in SQL, preferably across multiple dialects.

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Build, maintain and administer Looker as the primary BI tool and be the driving force behind the adoption and effective use of Looker within every team.

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Must be a Data Explorer using Looker daily to create and curate content, as well as prior experience with data visualization and building reports.

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Experience with Looker Explores to query data, validate data accuracy, identify error sources and control content access for security.

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Experience in Data visualizations, Scheduling and sharing Looks and dashboards, Table calculations, Looker expressions, Custom and advanced filters, Impacts of pivoting.

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Experience with best practices around designing dashboards, Fundamentals of caching and reporting tools: Tableau, Excel, Power BI, etc.

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Maintain and debug LookML code, Build user-friendly Explores, Design robust models, Define caching policies, Understand various datasets and associated schemas.

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Experience with Looker IDE, Text editor, Looker's SQL Runner, Content Validator, LookML Validator and Version control.

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Troubleshoot errors in existing data models. Implement data security requirements. Analyze data models and business requirements to create LookML objects.

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Design new LookML dimensions and Build Explores for users to answer business questions and optimize queries and reports for performance.

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Implement persistent derived tables, caching policies, version control and assess code quality, utilize SQL Runner for data validation.

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Experience with Looker query builder, Looker SQL generator, LookML models and views.

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Knowledge with a scripting language (Python, Ruby, etc.) to build data models and ETL workflow modeling.

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Knowledge of relational Databases or Data Warehouses (Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, Snowflake, etc.)

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