Cox Enterprises · 22 hours ago
Senior Business Intelligence Analyst
United States
Full-time
Remote
Mid, Senior Level
$89K/yr - $134K/yr
4+ years expCox Automotive is a leader in transforming the automotive industry through innovative technology. They are seeking a Senior Business Intelligence Analyst to improve consumer and retail solutions by analyzing and interpreting data, building metrics, and providing insights to drive business decisions.
AdvertisingBroadcastingDigital MediaTelecommunications
No H1B
Responsibilities
Build and optimize data processes: Support and collaborate with data team projects to design better data pipelines. Understand input data, output data, and required transformations. Work closely with data suppliers to ensure data quality and integrity
Lead AI-enhanced data initiatives: Identify opportunities to implement AI, machine learning, or automation tools (e.g., CoPilot in Power BI or Tableau) to accelerate data preparation, reporting, and insights generation
Consult on project management: Help manage projects to build new and improve existing data pipelines, driving deliverables, measuring KPIs, and reporting progress to leadership
Explore new analytics opportunities: Research automotive listing data trends, competitive landscapes, and innovative product features. Serve as liaison between Sales, Marketing, and Product Strategy to inform data-driven decisions
Perform AI-assisted data analysis: Use AI-powered tools and scripting to mine, validate, and interpret complex datasets efficiently. Translate data into actionable insights for stakeholders
Develop reports and dashboards: Utilize Power BI, Tableau, or AI-assisted visualization tools to present insights in the most effective format for decision-making
Monitor and analyze key metrics: Execute recurring analyses, identify trends, and provide AI-supported recommendations for business performance improvement
Coordinate and integrate data feeds: Source, merge, and transform internal and external data into usable information. Implement AI/ML models to automate data cleaning, transformation, and metric derivation
Support data monitoring & quality systems: Develop mechanisms for automated data validation and quality assurance
Assist development teams: Maintain AI-assisted data reporting models and enhance reporting automation
Build and validate derived metrics: Apply AI to generate predictive or prescriptive insights and validate associated business rules
Audit tagging & analytics configuration: Use AI tools to recommend improvements for web analytics setups
Qualification
Required
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
Bachelors Degree in related discipline + 4 years direct experience or an equivalent combination of education and work-related experience required
Must have 4+ years of experience performing data analysis and building data processes
Must have experience in digital or web analytics
Proficiency in writing and optimizing complex SQL queries, stored procedures, and task scheduling
Proficient in SQL across platforms such as Snowflake, Oracle, MS-SQL, and DB2. Must have snowflake experience
Hands-on experience in designing, developing, testing, and implementing ETL solutions
Skilled in handling and analyzing large-scale datasets
Knowledgeable in data extrapolation, interpretation, and effective chart/visual compilation
Proven experience conducting both quantitative and qualitative analysis
Experienced with data visualization and reporting tools including Power BI (with AI/CoPilot experience a plus), Tableau, and DOMO
Power user of MS Office suite (Excel, PowerPoint) for business analysis and presentations
Collaborative nature with the ability to balance strategic vision and tactical execution
Strong understanding of data science concepts, machine learning applications, and product management principles
Ability to adapt to emerging AI-driven data tools such as CoPilot in Power BI/Tableau to accelerate analysis and reporting
Preferred
Automotive industry experience preferred
2+ years working with Agile Scrum teams, ETL development, and cloud data warehouses like Redshift and Snowflake preferred
Experience presenting data-driven insights to leadership to guide decision-making preferred
Experience with web analytics tools such as Google Analytics, Adobe Analytics, and other tagging technologies preferred
Exposure to AI-powered analytics tools, automation frameworks, or machine learning models integrated into BI workflows is a plus
Benefits
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
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)
Company
Cox Enterprises
Cox Enterprises is a communications, media, and automotive services company.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$1.7M2014-12-15Grant· $1.7M
Leadership Team
Alexander Taylor
Chairman and Chief Executive Officer
Patrick O'Boyle
Senior Vice President of Corporate Development
Recent News
2026-01-07
Dayton Daily News
2025-12-11
Company data provided by crunchbase