Senior Manager analyzing economic & industry insights in automotive ecosystem. Producing data-driven analysis for strategic decisions across Cox Automotive.
Responsibilities
Independently source, extract, clean, transform, and analyze large-scale datasets from proprietary and third-party sources to generate insights on automotive market dynamics
Partner with internal data teams to acquire, integrate, and maintain the data feeds that power team deliverables
Own, maintain, and enhance recurring published data products—such as proprietary indices, market intelligence reports, and analytical frameworks
Apply statistical and econometric methods to identify trends, test hypotheses, and quantify relationships across economic and automotive variables
Develop and maintain automated data pipelines, dashboards, and reporting tools
Produce and deliver research reports, market commentaries, and presentations that translate complex analytical findings into concise, compelling narratives for diverse audiences
Monitor and interpret macroeconomic indicators, monetary policy developments, and consumer trends
Serve as a subject matter resource for internal teams
Build and maintain advisory relationships with internal and external stakeholders
Requirements
Bachelor’s degree in Economics, Finance, Mathematics, Statistics, Data Science, or equivalent quantitative discipline
Master’s degree in an analytical discipline strongly preferred
Minimum 7 years of experience in economics, market research, strategy, finance, or a related analytical field
demonstrated experience working with large-scale datasets to generate business insights
Track record of producing data-driven research, publications, or analysis consumed by senior leadership, external clients, or media audiences
Experience owning or contributing to recurring, published data products (e.g., indices, dashboards, market reports) with defined production schedules and external audiences preferred
Proficiency in SQL for data extraction, transformation, and analysis; experience with cloud data platforms (e.g., Snowflake) preferred
Experience with statistical or econometric software and/or visualization tools such as R, Python, Tableau, or Alteryx
Familiarity with economic and industry data sources (e.g., Moody’s Analytics, S&P Global Mobility, Experian, Equifax, BLS, FRED, Census Bureau)
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 research, data analysis, and content production
Experience connecting AI tools to live data environments (e.g., Snowflake, cloud warehouses) is a strong plus
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
up to 160 hours of paid wellness annually for their own wellness or that of family members
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
health care insurance (medical, dental, vision)
retirement planning (401(k))
Job title
Senior Business Intelligence Manager – Economic & Industry Insights
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