Business Intelligence Manager

Job Description

Job Description

Key ResponsibilitiesAnalytics 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, Dealertrack, VinSolutions, 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