Job Description:
The Penske Maintenance Analytics team is seeking a Senior Maintenance Analyst to drive business outcomes through high-impact data analytics. This role leads and contributes to the development of analytical solutions and data products, partnering closely with cross-functional teams to deliver scalable, automated insights.
The role requires strong operational acumen and the ability to work across complex data and analytics ecosystems, including on‑premises and cloud-based platforms (AWS). The ideal candidate will excel at data querying and analysis, data modeling, and the development of reports and dashboards that enable confident, data-driven decision-making. Proficiency with Python, SQL, Excel, Qlik Sense, Tableau, and similar analytics and visualization tools is essential. Experience spanning both cloud and on‑prem technology stacks, with disciplined tool selection, is preferred. Foundational knowledge of geospatial and statistical analysis is beneficial.
This position is based at our Corporate offices in a scenic country setting, 7 miles south of Reading, PA, offering a convenient commute with ample free parking. Â
Work Location: 2675 Morgantown Rd, Reading, Pennsylvania
Responsibilities:
- Serve as a liaison between business users and technical teams to translate operational needs into clear, actionable analytics requirements
- Partner with business, IT, data engineering, and product teams to define scope, delivery approach, and data governance
- Design and deliver medium-complexity automation leveraging Power Platform, SQL Server integrations, Python, IBM DB2, Oracle, and AWS data services
- Define logical data requirements and produce validation plans, QA evidence, and transition artifacts for engineering and product delivery
- Communicate insights and recommendations clearly and effectively to stakeholders, including senior leadership
- Own recurring reporting, dashboards, metric refreshes, and ad-hoc analytical requests
- Collaborate effectively with internal development teams to ensure alignment with business priorities and technical strategy
- Apply adaptable, innovative problem-solving approaches to evolving business challenges
- Follow best practices for managing, analyzing, and scaling large data sets
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