The ideal candidate brings strong quantitative skills and a forward-leaning approach to AI. You will work with large-scale proprietary and third-party datasets-using AI-assisted tools and workflows-to extract, transform, and analyze data that illuminates automotive industry trends. Success requires intellectual curiosity, comfort working independently with data, and a willingness to continuously adopt new AI tools and methodologies.
WHAT YOU'LL DO
PRIMARY DUTIES/KEY RESPONSIBILITES
- Source, extract, clean, transform, and analyze data from proprietary and third-party sources. Maintain and update recurring datasets, reports, and presentations on established production schedules.
- Build, maintain, and improve AI-powered data pipelines, automated reporting workflows, and analytical tools-including connecting large language models and coding assistants to production data environments (e.g., Snowflake).
- Apply statistical and econometric methods to identify trends, test hypotheses, and quantify relationships across economic and automotive variables. Translate findings into concise reports and visualizations.
- Evaluate, test, and implement generative AI tools and automation frameworks to enhance analytical productivity. Identify opportunities to automate manual workflows.
- Manage data flow, processing, storage, and quality assurance across key datasets critical to team deliverables.
- Contribute to recurring published data products-proprietary indices, market reports, and analytical frameworks-tracking key industry metrics including sales volumes, transaction prices, inventory levels, affordability, and credit conditions.
- Provide analytical support to the Senior Director on recurring deliverables, ad-hoc research requests, and strategic projects. Support the Chief Economist as needed.
- Other duties as assigned. Occasional travel may be required.
WHO YOU ARE
Required Experience & Specialized Knowledge and skills
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
- Minimum requirement of Bachelor's degree in Economics, Finance, Mathematics, Statistics, or Data Science required + 4 years of related experience OR Master's degree with minimum 2 years related experience OR Ph.D. with 1+ years related experience. (Masters Degree or above preferred)
- Minimum of 2 years experience in Business Intelligence preferred
- High preference for Atlanta based candidates; open to individuals based in Georgia within a drivable distance to Atlanta that are open to being onsite a minimum 6+ times a month at short notice (not set schedule) for team meetings, etc. (required)
- Strong statistical literacy and data profiling skills to independently assess data quality and explanatory power.
- Proficiency in SQL for data extraction, transformation, and analysis; experience with cloud data platforms (Snowflake or AWS preferred).
- Experience with statistical or econometric software and/or visualization tools such as Python, R, Tableau, Power BI or Alteryx.
- Proficiency in Microsoft Office applications, particularly Excel and PowerPoint.
- Demonstrated experience or strong interest in applying AI/ML tools-including generative AI, large language models, and automation frameworks-to accelerate data analysis and content production. Experience connecting AI to live data environments (e.g., Snowflake) is a strong plus.
- Strong written and verbal communication skills with the ability to present findings to both technical and non-technical audiences.
- Intellectual curiosity with a growth mindset toward AI and emerging technologies. Collaborative approach with strong interpersonal skills.
- Thrives in a collaborative, fast-paced team environment while capable of working independently.
- Any experience related to economics or market research a plus
- Continuous improvement mindset
- Must be comfortable with at least 10% travel domestically
USD 89,400.00 - 134,000.00 per year
Compensation:
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
Skills Required
- Bachelor's degree in Economics, Finance, Mathematics, Statistics, or Data Science
- 4 years of related experience OR Master's degree with minimum 2 years OR Ph.D. with 1+ years
- 2 years experience in Business Intelligence
- Proficiency in SQL for data extraction, transformation, and analysis
- Experience with cloud data platforms
- Experience with statistical or econometric software and/or visualization tools
- Proficiency in Microsoft Office applications, particularly Excel and PowerPoint
- Demonstrated experience or strong interest in applying AI/ML tools
- Strong written and verbal communication skills
- Intellectual curiosity with a growth mindset toward AI
Cox Enterprises Compensation & Benefits Highlights
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Retirement Support — The 401(k) includes a dollar-for-dollar match up to 6% of pay plus an additional fixed 2% company contribution with immediate vesting and auto-enrollment via Vanguard. Legacy cohorts may have different retirement arrangements, but the enhanced match is emphasized as a current standard.
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Healthcare Strength — Multiple medical options (Core PPO, Premium PPO, HDHP + HSA) and Kaiser in CA are available, with in-network preventive care covered at 100% and openly published 2026 plan details and premiums. The program lineup extends to pharmacy, dental, vision, telehealth, and condition-specific supports.
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Parental & Family Support — Eight weeks of paid parental leave, fertility coverage via Progyny, adoption assistance, and childcare/backup care resources complement flexible PTO and paid time off for voting, volunteering, and jury duty. These benefits are positioned to support employees across family life stages.
Cox Enterprises Insights
What We Do
For well over a century, Cox Enterprises has been shaping the future with daring ideas and values-driven thinking. Since our founding in 1898, our relentless spirit of innovation has driven us to disrupt industries and enhance the quality of life in the communities we serve. Through our major divisions — Cox Communications, Cox Automotive and Cox Farms — our people have countless opportunities to grow and make an impact in the communications and automotive industries, as well as in new ventures in agriculture, cleantech, digital media and more. As a privately-held, family-owned business, we know that people are our most valuable asset. We offer a supportive and inclusive environment with flexible career growth, amazing benefits and work-life balance at the forefront. Our mission, our ways of working and our commitment to people are what make our workplace culture remarkably flexible and resilient. Join us to build a better future and make your mark.
Why Work With Us
At our core, Cox is a technology company that values human relationships. We know people feel most empowered when their work has meaning, when they feel respected and have opportunities to grow. “Career satisfaction” is not enough at Cox — we’re here to help you find balance, live well and achieve your career goals even as they change over time.
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Cox Enterprises Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Every person has different working styles and preferences — and we aim to empower teams to work where they are most comfortable. Some roles require in-person work, but for those that can be performed remotely, we offer flexibility.























