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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 optimization5+ 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 efficiencyHands-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 platformsSolid foundation in statistical modeling and machine learning, including:Time-series forecastingRegression and causal inferenceClustering, decision trees, or similar techniquesProven 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 JupyterFamiliarity with QA frameworks for data and model validationExperience 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.

NS-DAD-NS_1768945751 To Apply for this Job Click Here