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Automotive Dealership Data Manager On-Site

Job in Florence, Lauderdale County, Alabama, 35630, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 95000 - 140000 USD Yearly USD 95000.00 140000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities Analytics Leadership & Team Management

  • Lead, mentor, and develop a team of Data Analysts, fostering a culture of accountability, continuous improvement, and professional growth.
  • Prioritize analytics projects and reporting requests to align with organizational goals and operational needs.
  • Establish standards, best practices, and governance for reporting, data management, and analytics processes.
  • Conduct performance reviews, coaching, and career development planning for analytics team members.
  • Collaborate with executive leadership to identify strategic opportunities where data can improve operational performance and business outcomes.
Reporting Strategy & Business Intelligence
  • Oversee the development, maintenance, and delivery of reporting solutions supporting Sales, Service, Finance, Marketing, and Operations teams.
  • Ensure the timely and accurate delivery of recurring reports and dashboards across all dealership locations.
  • Partner with department leaders to define key performance indicators (KPIs), reporting requirements, and business intelligence needs.
  • Guide the team's response to ad hoc reporting and analysis requests while maintaining prioritization and service levels.
  • Present findings, trends, and recommendations to senior leadership in a clear and actionable manner.
Data Governance & Quality
  • Establish and maintain data governance standards to ensure accuracy, consistency, and reliability across reporting platforms.
  • Oversee data validation, reconciliation, and quality assurance processes across multiple business systems.
  • Develop documentation standards for reporting logic, data definitions, processes, and analytics methodologies.
  • Work closely with IT and business stakeholders to improve data integrity, system integrations, and overall data accessibility.
Dashboards, Automation & Process Improvement
  • Lead the design and implementation of scalable dashboards and business intelligence solutions using Power BI and related tools.
  • Identify opportunities to automate reporting, streamline workflows, and reduce manual processes.
  • Evaluate and implement new analytics technologies, AI tools, and automation solutions to improve efficiency and insight generation.
  • Partner with IT teams and vendors to enhance reporting infrastructure and support long-term analytics initiatives.
Required Qualifications
  • 5+ years of experience in data analytics, business intelligence, reporting, or a related field.
  • 2+ years of experience leading, mentoring, or managing analysts or analytics teams.
  • Ability to work full-time on-site at our Florence, AL corporate office.
  • Current residence in or near the Shoals area with the ability to commute daily.
  • Strong knowledge of SQL, Power BI, Excel, Python, and modern business intelligence tools.
  • Experience building and scaling reporting functions, analytics programs, or business intelligence initiatives.
  • Experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, or Gemini to improve productivity, analytics workflows, and decision-making.
  • Advanced Microsoft Excel skills, including pivot tables, lookups, formulas, data modeling, and analysis.
  • Experience managing multiple priorities, stakeholders, and projects in a fast-paced environment.
  • Strong leadership, communication, presentation, and problem-solving skills.
  • Proven ability to translate complex data into clear business recommendations for leadership audiences.
Preferred Qualifications
  • Experience managing analytics functions within automotive dealership operations.
  • Familiarity with dealership systems such as CDK, Reynolds & Reynolds, Dealer track, Vin Solutions, Elead, Tekion, or vAuto.
  • Experience with data warehousing, APIs, ETL processes, Power Query, and data automation tools.
  • Understanding of dealership KPIs, including sales, inventory, fixed operations, F&I performance, customer retention, and service metrics.
  • Experience developing analytics roadmaps, governance programs, and KPI frameworks.
  • Microsoft Certified:
    Power BI Data Analyst Associate (PL-300)
  • Microsoft Excel Expert (MO-201)
  • SQL Certification
  • Google Data Analytics Professional Certificate
  • Project Management Professional (PMP) or similar leadership certification
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