- Design and develop LookML models, and explore Dashboards and workflows in the Looker platform.
- Implement persistent derived tables, caching policies, version control, and assess code quality, utilize SQL Runner for data validation.
- 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.
- Investigate, improve and optimize query performance for improved user experience.
- Influence internal and external stakeholders to design and adopt processes that elevate data integrity and facilitate self-help analytics and proper data governance.
- Build and lead impactful and KPI-centric relationships with cross-functional team members.
- Help create and maintain coding standards (style guides, etc.) and perform code reviews for other BI developers or technical analysts.
- At least 6 years of experience developing within Looker.
- Excellent SQL skills and advanced proficiency in LookML.
- High energy and action-oriented with a history of getting things done in complex, fast-moving environments.
- Ability to manage multiple projects simultaneously.
- Looker Development: coding LookML, setting up Explores, Reports, and Dashboards.
- Bachelor's degree in a technical field or equivalent technical knowledge and experience.
- Ability to communicate complex information clearly and concisely.
- Experience working on projects from feature definition to project deployment through the development lifecycle.
- Experience informing and assisting peers and other business stakeholders on various business initiatives.
- Knowledge of software development processes and best practices (code style guides, linting, pull request reviews, GitHub branch/merge processes, etc. ).
- Understanding of development processes and agile methodologies.
- Experience within retail, eCommerce, and/or fintech.
- Data Warehousing (Snowflake, Redshift, Big Query, Azure).
- Effective analytical, troubleshooting, and problem-solving skills.
- Experience building data products incrementally and integrating and managing datasets from multiple sources.
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