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Senior Data Analyst (Analytics Engineering Focus)
Work Location
100 % Remote Preferred: Santa Monica, CA
Also open to candidates in Morrisville, North Carolina, New York, or San Francisco
Education
STEM degree required
Role Overview
This role sits within a Strategic Forecasting & Decision Analytics function but is engineering-heavy, not a traditional analyst position. The team is looking for a strong analytics engineer who can independently optimize code, pipelines, and queries at scale.
The ideal profile is someone on an engineering career path, focused on performance, efficiency, and production-ready data systems rather than business storytelling or purely business-facing analytics.
Must-Have Qualifications
- Strong engineering mindset with a focus on code, pipeline, and query optimization
- 5+ years of hands-on experience using SQL with cloud data warehouses (Snowflake strongly preferred)
- Advanced proficiency in Python (R acceptable but Python preferred)
- Experience optimizing SQL queries and data models for performance, scalability, and cost efficiency
- Hands-on experience with production data pipelines and orchestration tools (dbt, Airflow, or similar)
- Experience engineering and maintaining data solutions using Databricks, Spark, S3, or equivalent platforms
- Solid foundation in statistical modeling and machine learning, including:
- Time-series forecasting
- Regression and causal inference
- Clustering, decision trees, or similar techniques
- Proven ability to work independently, solve open-ended technical problems, and optimize existing systems without guidance
Nice-to-Have
- Experience with analytics and visualization tools such as Looker, Tableau, or Jupyter
- Familiarity with QA frameworks for data and model validation
- Experience supporting forecasting, optimization, or decision-science use cases
Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.
