Analytics Engineer
Core
Build, maintain, and optimize foundational data assets, BI infrastructure, and data engineering workflows to enable data-driven business decisions for Cox Automotive Consumer & Marketing Solutions products.
Role type
Senior Analytics Engineer (Manager level, non-people leader)
Builds
Data assets (Data Dictionary, Query Repository), data models, BI infrastructure, and anomaly detection systems for product health monitoring.
Domain
Automotive industry, Data Intelligence & Science
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL programming, SQL-based relational databases (Athena, Redshift, Snowflake), ETL processing of big data, BI Tools (Power BI, Domo, Tableau), Microsoft Excel, version control systems (GitHub), CI/CD workflows, data transformation tools (dbt), web analytics tools (Google Analytics, Adobe Analytics), AI/GenAI capabilities for task augmentation and workflow improvement.
Preferred skills
Snowflake data platform capabilities (Cortex AI), anomaly detection and alerting methodologies, machine learning, automation, Tableau Server certification, AWS Data Analytics certification.
Technologies
Snowflake, dbt, GitHub, Microsoft Power BI, Tableau, Domo, Google Analytics, Adobe Analytics, Microsoft Excel, Athena, Redshift.
Responsibilities
Partner with cross-functional teams to make data-driven business decisions; build and maintain foundational data assets and optimize runtime performance; develop and maintain data models using dbt and SQL; manage data lineage documentation and semantic layer metadata; develop and apply anomaly detection and alerting capabilities; administer account access for analytics tools; guide analysts on advanced techniques and validate their work.
Seniority
Manager level, hands-on IC with limited oversight