Senior Analytics Engineer
New
United StatesFull-TimeSenior
Salary115,000 - 130,000 USD per year
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Job Details
- Experience
- 5-7 years
- Required Skills
- SQLSnowflakeCI/CDData modelingBigQuerydbtRedshiftLooker
Requirements
- Bachelor’s degree at a minimum.
- 5-7 years of senior-level experience spanning both analytics engineering and data analysis.
- Advanced SQL proficiency.
- Production-level dbt experience, with specific expertise configuring metric and semantic layers.
- Experience navigating, testing, and contributing to non-trivial codebases utilizing dbt macros, exposures, and lineage.
- Version control and CI workflows experience within modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Fluent in LookML with a proven ability to author and refactor models.
- Exceptional communication skills with a track record of managing stakeholders directly.
Responsibilities
- Architect and maintain analytics-ready datasets, LookML explores, and high-impact dashboards.
- Confidently navigate dbt to trace lineage and debug models.
- Make modeling decisions (grain, incremental strategies, data contracts) that bring order and stability to messy raw data sources.
- Partner directly with Member Engagement teams to turn strategic questions into rigorous analyses.
- Collaborate strategically with the core data engineering team to understand, shape, and optimize foundational data models.
- Think critically about data limitations, challenge baseline assumptions, and articulate insights to technical and non-technical audiences.
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