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# Business Intelligence Analyst II

- **Company:** Cox Automotive
- **Location:** Forest Park, GA, United States
- **Salary:** $98,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Information Engineering, Data Integration, Extract Transform Load (ETL), Relational Databases, Document-Oriented Databases, Power BI, SQL Databases, Tableau (Software), Data Analytics, Looker Analytics
- **Published:** October 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2997511077-2

## About the Role

* Business intelligence tools (e.g., Power BI, Tableau, Looker)
 * SQL and relational databases
 * Data modeling and star-schema design
 * ETL development and data integration
 * KPI definition and performance measurement
 * Dashboard and report design
 * Statistical and exploratory data analysis
 * Data quality and validation techniques
 * Requirements gathering and stakeholder management
 * Telecommunications or media analytics domain knowledge

## Description

Cox Automotive is seeking a Business Intelligence Analyst II to turn complex telecommunications and media data into insights that shape automotive retail and mobility. You will design dashboards and reports, build robust data models, and deliver analytics that guide decisions across brands like Autotrader, Kelley Blue Book, and Manheim. Partner with cross-functional teams to define requirements, optimize SQL and ETL processes, and ensure data quality. In our inclusive, people-first culture, you'll gain broad exposure, drive innovation, and grow your career through impactful, data-driven work., * Transform complex telecommunications and automotive data into actionable business intelligence and performance dashboards

 * Design, build, and maintain BI reports, visualizations, and data models to support product, marketing, and operations teams
 * Collaborate with cross-functional stakeholders to gather requirements and translate them into analytical solutions
 * Develop, validate, and optimize SQL queries and ETL processes to ensure data quality and accuracy
 * Monitor KPIs, perform trend and root-cause analyses, and provide insights that drive strategic decisions
 * Automate recurring reporting and self-service analytics solutions to improve efficiency
 * Document data definitions, reporting logic, and BI processes for consistency and governance
 * Partner with data engineering and product teams to enhance data availability and BI tools
 * Support experimentation, A/B testing, and forecasting initiatives with robust analysis
 * Present findings and recommendations to business leaders in clear, compelling narratives