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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in automotive retail data analysis, including vehicle sales and dealership operations, while effectively communicating with diverse stakeholders. Proficient in SQL and Excel for data validation and quality control, with a strong focus on continuous improvement and operational efficiency.
Highest-signal resume keywords
Data AnalysisSQL ProficiencyAutomotive Retail Industry ExperienceMicrosoft Excel SkillsProblem-Solving Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLMicrosoft ExcelData Quality ControlData IngestionData TransformationData GovernanceAnalytical SkillsTroubleshootingProject Management
Soft Skills
Communication SkillsDecision-MakingAdaptabilityCollaborationCustomer Support
Tools & Technologies
Dealer Management System (DMS)SalesforceCRM PlatformsTicket Management SystemsAnalytical Tools
Industry Keywords
Automotive RetailDealership OperationsOEM ProgramsCustomer RetentionService Operations DataIncentive ProgramsOwnership Lifecycle Processes
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Become a trusted expert in automotive retail data, including vehicle sales, service transactions, incentive programs, customer ownership cycles, and dealership operations
- Monitor, analyze, and troubleshoot data quality issues across complex ingestion, transformation, and delivery pipelines
- Investigate and resolve data-related issues under time-sensitive conditions while communicating clearly with technical and non-technical stakeholders
- Develop a strong understanding of the data ecosystem, including extraction, ingestion, transformation, enrichment, and quality control processes
- Partner with vendors, product teams, and engineering teams to identify root causes and drive long-term solutions
- Resolve customer and internal support requests, distinguishing between data quality issues and system-related issues
- Query and analyze large datasets using SQL, Excel, and other analytical tools to validate data quality and uncover actionable insights
- Assess the impact and scope of data issues and support mitigation efforts
- Contribute to continuous improvement initiatives that enhance operational efficiency, data quality, and customer outcomes
- Independently lead projects supporting company goals and improving value delivered to dealer partners
- Continuously evaluate performance, seek feedback, and identify process and outcome improvements
Requirements
What you’ll need- 5+ years of professional experience in data analysis, data operations, business operations, customer support, or a related field
- Direct experience working within the automotive retail industry, automotive technology sector, dealership operations, OEM programs, or automotive data environments
- Working knowledge of dealership operations, including vehicle sales, service, incentives, customer retention, or ownership lifecycle processes
- Strong written and verbal communication skills with both technical and non-technical audiences
- Intermediate to advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, and data analysis functions
- Intermediate SQL proficiency and experience querying large datasets
- Strong analytical, troubleshooting, and problem-solving skills
- Ability to operate effectively in ambiguous situations and make sound decisions under pressure
- Experience managing multiple priorities while balancing short-term issue resolution and longer-term improvements
- Experience working with Dealer Management System (DMS) data or automotive retail technology platforms
- Experience with OEM incentive programs, vehicle sales reporting, service operations data, or customer retention analytics
- Experience with Salesforce or other CRM platforms
- Experience with customer support or ticket management systems
- Familiarity with data quality, data governance, or data operations best practices
- Experience supporting production data environments
- Must be currently authorized to work in the United States and not require employer sponsorship now or in the future
Benefits
Comp & perks- Competitive compensation package, including base salary and incentive opportunities where applicable
- Comprehensive health and wellness benefits for employees and eligible dependents
- Retirement savings programs, including company matching contributions where available
- Reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities
