Help build and maintain the semantic layer of our data pipeline
Develop and test data models, editing LookML
Manage a data catalog
Automate data analysis workflows
Work closely with stakeholders to understand and support their data needs
Build, test, and maintain SQL-based data models in the data warehouse (Redshift) to support reporting and analytics
Create and manage a clean, reliable reporting and semantic layer in Looker using LookML
Monitor data adoption and identify opportunities to improve data usability and self-service analytics

Requirements

0-2 years of experience in analytics, data engineering, or a related field
Strong ability to write, optimize, and debug SQL queries
Hands-on experience with BI/dashboarding platforms (e.g. Looker, Tableau)
Experience building SQL-based data models in a data warehouse environment
Familiarity with semantic modeling tools (e.g. LookML) and exposure to transformation frameworks such as dbt is a plus
Understanding of ETL/ELT concepts is expected
Strong attention to detail in building data validation checks
Excellent interpersonal skills with experience working cross-functionally
Bachelor’s degree in a quantitative, technical, or analytical field (e.g. Computer Science, Math, Physics, Engineering) or a rigorous coding bootcamp with a portfolio demonstrating the above skills.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLLookMLdata modelingdata analysisETLELTdata validationdata pipelinedata catalogdata warehouse

Soft Skills

attention to detailinterpersonal skillscross-functional collaboration

Certifications

Bachelor’s degreecoding bootcamp