Data Analytics Manager

The Team You Will Be Joining

Join an enterprise analytics function supporting a large, operationally complex organization with a significant national fleet. Partner with leaders across fleet, operations, supply chain, finance, data engineering, and other business functions. Help strengthen how operational data is translated into business decisions. Enter as a hands-on analytics leader with the opportunity to shape the function as it grows.

LOCATION

Based in South Charlotte. Regular onsite presence is expected.

What They Offer You

• Significant ownership over operational reporting, analytics strategy, KPI development, and the reporting roadmap.
• The opportunity to work with large, complex datasets using Databricks, Power BI, Python, R, and SQL.
• Direct exposure to senior operational and cross-functional leaders.
• The ability to influence highly visible business initiatives and operational decisions.
• A clear path from an individual contributor role into a player-coach and people leadership position.

WHY THIS ROLE IS IMPORTANT

• Help move the organization beyond traditional reporting toward insights that directly influence decisions.
• Identify trends, inefficiencies, root causes, and opportunities across fleet and operational performance.
• Establish scalable KPIs, reporting frameworks, dashboards, and communication standards.
• Turn ambiguous business questions into clear analysis, recommendations, and actions.
• Improve transparency, measurability, and performance across the organization.
• Build the foundation for a scalable enterprise analytics team.

THE BACKGROUND THAT FITS

• 5–8+ years of experience in analytics, business intelligence, data science, or insights-focused roles.
• Experience delivering analysis that influenced decisions and produced measurable business outcomes.
• Exposure to fleet, logistics, transportation, supply chain, field operations, or similarly complex environments.
• Advanced Power BI skills, including DAX, data modeling, dashboard development, and visualization design.
• Hands-on experience with Databricks, SQL, Python, R, and large, complex datasets.
• Strong business acumen, stakeholder influence, data storytelling, curiosity, and an interest in future leadership.