Business Intelligence Sr Manager

Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Business Intelligence Sr Manager

Management Level

Sr Manager - Non People Leader

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 15% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $119,600.00 - $199,400.00. 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.

Job Description

The Senior Manager of Advertising & Consumer Analytics delivers performance insights and optimization strategies for automotive manufacturers leveraging Cox Automotive Media Solutions. This individual contributor role translates complex data into clear, actionable recommendations that enable sales teams to engage consultatively with clients and help campaign management teams drive measurable results.
Reporting to the Director of Advertising & Consumer Analytics, this role partners directly with Sales, Campaign Management, Data Science/Engineering, and Analytics peer groups. The Senior Manager serves as a strategic liaison across Product, Operations, and Sales Operations—representing Analytics' needs while ensuring insights reach the right stakeholders at the right time.

WHAT YOU'LL DO

Primary Responsibilities

Analytics & Insight Development

• Develop SQL queries from scratch to answer client business questions, working within Snowflake and other data warehouse environments

• Analyze media performance and on-site consumer behavior to surface recommendations that drive revenue and improve campaign ROI for OEMs, Tier 2 groups, and Tier 3 dealerships

• Establish innovative approaches to solve complex analytics problems, discovering patterns and trends that yield valuable data-driven insights

• Integrate new data sources proactively to enhance analysis capabilities and deliver differentiated client value

Executive Communication & Client Engagement

• Own and deliver monthly performance reports and Quarterly Business Reviews (QBRs) that distill complex analyses into clear, concise narratives for client executives

• Lead weekly meetings with internal stakeholders and external clients to communicate insights, address questions, and align on priorities

• Respond to ad-hoc analysis requests by rapidly developing insights that answer client business questions

• Create and deliver customized challenger sales presentations, program recaps, and solution recommendations with minimal manager support

• Translate technical findings into strategic recommendations that align with client business objectives and Cox Automotive Media capabilities

Cross-Functional Partnership

• Collaborate with Data Science and Engineering teams to define requirements and improve the analytics suite

• Conduct full technical discovery and architect client solutions that address gathered business and technical requirements

• Present optimization opportunities to internal teams and inform them of new product solutions tailored to individual client goals

WHO YOU ARE

Required Qualifications

Experience & Education

• 8+ years in an analytics-focused role, preferably in digital marketing analytics and web/site analysis

• Bachelor's degree required; Master's preferred in Analytics, Marketing, Economics, Finance, Statistics, Mathematics, or related quantitative field

• Must live within a commutable distance to Atlanta GA or Irvine CA

• 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.

Technical Skills

• Advanced SQL proficiency: Ability to independently write complex queries to extract, transform, and analyze data in response to ad-hoc client questions

• Intermediate to advanced experience with data warehousing platforms (Snowflake, BigQuery, Redshift, Hadoop/Hive)

• Proficiency with BI and visualization tools (Power BI, Tableau, Google Data Studio, MicroStrategy)

• Ability to perform statistical analysis (descriptive, variance, regression, probability) with general understanding of advanced statistical methods

• Working knowledge