Business Intelligence Manager

Cox Enterprises

Business Intelligence Manager at Cox Automotive managing analytics projects from data acquisition to reporting. Leading continuous improvements in the Business Intelligence team with actionable insights on market trends.

Posted 4/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $101,500 - $169,100 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPostgresSQLTableau

About the role

Key responsibilities & impact

Acquires, synthesizes and organizes business data from internal and external sources.
Creates specifications for reports and analysis based on business need and required or available data elements.
Provides consultation to users on optimal methods to access, analyze and derive meaning from produced datasets and reports.
May analyze complex business issues, constructing forecasts, recommendations and strategic / tactical plans based on business data and market knowledge.
Contributes to development and ensures ongoing application of date governance structures and controls.
Manages and executes complex, end-to-end analytics projects — from requirements gathering through delivery — including Fleet lead strategy, performance reporting, and opportunity analyses.
Develops account-level analytics and segmentation to support Fleet go-to-market strategy, including identification of high-potential acquisition targets, at-risk accounts, and growth opportunities within existing relationships.
Builds and maintains a Fleet whitespace model to quantify untapped potential at the account level.
Leads the development of self-service reporting and Fleet performance metrics, translating data into actionable insights on account performance, whitespace, market trends, and buy/sell behavior for sales teams.
Develops and recommends continuous process improvement initiatives for the Business Intelligence team.
Works closely with stakeholders from multiple functions to identify systemic issues and challenges facing key segments of the business.

Requirements

What you’ll need

Strong preference for Atlanta based candidates
Internal candidates must be located on the East Coast
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.
Bachelor’s degree in a related discipline and 6 years’ experience in a related field; or a different combination, such as a master's degree and 4 years’ experience; a Ph.D. and 1 years’ experience in a related field; or 14 years’ experience in a related field.
Must have 6 years of experience working within Business Intelligence
Expert-level proficiency in SQL with demonstrated ability to write complex queries across multiple database platforms (Snowflake, Redshift, BigQuery, SQL Server, PostgreSQL)
Proficiency with Tableau or Power BI to create visualizations from disparate data sources.
Experience using Gen AI tools frequently (Co-pilot, Claude, Github) in professional setting.

Benefits

Comp & perks

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.
Health care insurance (medical, dental, vision)
Retirement planning (401(k))
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata governancebusiness analysisforecastingreportingdata visualizationprocess improvementanalytics project managementaccount-level analyticssegmentation

Soft Skills

consultationcommunicationstakeholder engagementstrategic planningproblem-solvingcollaborationanalytical thinkingorganizational skillsleadershipadaptability