AccruePartners
Linkedin · Posted 17d ago
Data Analytics Manager
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Indexed description
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.
- Based in South Charlotte.
- Regular onsite presence is expected.
- 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.
- 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.
- 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.
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