Analytics Engineer (*must Have Looker / LookML*) [82055]

VENDORS – DO NOT CONTACT US IN ANY WAY TO PITCH YOUR SERVICES OR YOUR BENCH Overview This Analytics Engineer supports the modernization of BI and data modeling ecosystems, operating at the intersection of data engineering and analytics. This role focuses on building scalable, well-structured data models, refactoring BI semantic layers, and supporting BI and data platform migrations. Type: Contract, Remote, • • Must be in and work in PST time zone Schedule: Regular day hours, PST time zone Duration: 5+ months expected Pay: $45 - $50/hr, paid weekly, benefits eligible Analytics Engineer Requirements • Bachelor’s degree in a technical or quantitative field • 3+ years of experience in analytics engineering or data engineering • Advanced SQL with the ability to work across complex data models • Strong knowledge of dimensional modeling and data warehousing concepts • MUST HAVE Hands-on experience with Looker / LookML, including semantic layers, explores, and dashboards • Experience refactoring or rebuilding BI layers and supporting BI migrations • Familiarity with a modern data stack (e.g., dbt, Airflow, or similar) • Experience with cloud data warehouses such as Snowflake and/or Redshift • Strong communication skills and comfort working with cross-functional stakeholders • Exposure to data replication or system integrations is a plus (e.g., source databases to cloud warehouse) • Python or scripting experience preferred Analytics Engineer Duties • Design and build clean, scalable data models to support BI and analytics • Refactor and simplify BI semantic layers, improving usability and performance • Lead and support BI migrations, including dashboard rebuilds • Translate business requirements into reliable, self-service datasets • Partner with stakeholders to define metrics, standardize definitions, and align reporting logic • Build and maintain ELT pipelines across the data stack • Support data platform migration and replication efforts • Identify and resolve data quality, performance, and integrity issues • Establish and promote best practices for data modeling, documentation, and governance • Own and maintain business logic across analytics workflows end to end No deadline to apply.