What are the responsibilities and job description for the Reporting & Data Analyst (Automotive Operations) - Full Time position at Long-Lewis Career Opportunities?
Position Summary
The Reporting & Data Analyst is responsible for extracting, consolidating, and delivering accurate, actionable data from multiple dealership systems and external sources. This role supports operational and strategic decision-making by transforming fragmented data into meaningful reports and insights.
Key Responsibilities
Data Extraction & Reporting
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Extract and compile data from dealership systems, OEM portals, CRM platforms, and third-party sources
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Develop and maintain recurring reports for Sales, Service, Finance, and Operations
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Support ad hoc reporting requests with timely and reliable data
Data Quality & Analysis
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Clean, validate, and reconcile data from multiple sources to ensure accuracy
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Identify trends, inconsistencies, and opportunities within dealership data
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Document reporting processes, data sources, and logic for consistency
Dashboards & Automation
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Create dashboards and visualizations using Excel and/or Power BI
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Automate manual reporting processes where possible
Required Qualifications
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2 years of experience in reporting, data analysis, or related role
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Must have Strong SQL, HTML and Python skills
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Must have Strong Ai skills (Claude, ChatGPT, Copilot, Gemini)
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Strong Excel skills (pivot tables, lookups, data manipulation)
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Experience working with multiple data sources and web-based systems
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Ability to manage multiple priorities and deadlines
Preferred Qualifications
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Experience in automotive dealership operations
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Familiarity with DMS/CRM systems (CDK, Reynolds & Reynolds, Dealertrack, VinSolutions, Elead)
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Exposure to data automation tools (Power Query, APIs, or scripting)
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Understanding of dealership KPIs (sales performance, inventory, service metrics)
- Microsoft Power BI Data Analyst Associate (PL-300)
- Microsoft Excel Expert (MO-201)
- SQL Certification
- Google Data Analytics Professional Certificate
Why This Role Matters
This position plays a critical role in ensuring accurate, reliable data is available to support daily operations and strategic decisions. By improving reporting processes and data quality, this role helps drive efficiency and performance across the organization.