Senior Manager - Rental Analytics

Penske

Reading (Berks County)

On-site

USD 130,000 - 170,000

Full time

14 days+
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Job summary

Penske Truck Leasing Co., L.P. in Reading, PA is seeking a Senior Manager of Rental Analytics to lead a high-performance team and deliver AI/ML driven insights to optimize operations and strategic planning.

You will design predictive models for financial forecasting, workforce planning, capacity, and fleet optimization, mentor analysts, and partner with IT and rental teams to deploy models.

Qualifications

  • Bachelor's degree in Engineering, Analytics, Mathematics, Statistics or Data Science.
  • Master's degree preferred in Finance, Math & Engineering.
  • 10+ years in Accounting/Financial analytics, data analysis, leadership.
  • 5+ years SQL or Visual Basic programming; Excel/PowerPoint required.

Responsibilities

  • Lead data science team in developing advanced analytical models and ML solutions.
  • Oversee data quality initiatives and data integration efforts.
  • Manage data analysis for Corporate, field and customer requests.
  • Coordinate with IT and Rental teams to deploy AI/ML models.
  • Maintain cutting edge capabilities through R&D and partnerships.

Skills

Data science leadership
SQL
Python
Machine learning
Forecasting
Communication

Education

Bachelor's degree in Engineering or Analytics
Master's degree preferred

Tools

AS400
Excel
PowerPoint
Visual Basic

Job description

Position Summary:

The Senior Manager of Rental Analytics will drive strategic insights delivery and innovation by leading a high-performance team of Analysts and Data Scientists for Penske’s Rental Organization. This strategic role is responsible for developing cutting-edge AI/ML capabilities and delivering transformative insights which directly drive operational efficiency and strategic insight to our senior leaders.

The Senior Manager will collaborate across the enterprise and closely with the Director to design, implement, and optimize predictive models focused on financial forecasting, workforce planning, capacity modeling, and fleet and process optimization. Beyond technical excellence, this role will be instrumental in cultivating team talent, fostering a culture of continuous learning, and expanding the strategic analytics capabilities across the organization.

This is an on-site position located at our Corporate Office in Reading, PA.

Key Responsibilities:

  • Lead data science team in developing advanced analytical models and machine learning solutions

  • Oversee data quality initiatives and data integration efforts.

  • Manage and perform data analysis in support of Corporate, field and customer-based requests.

  • Coordinate across multiple IT and Rental teams to prioritize, develop and drive deployment of our AI/ML models within our Rental processes and systems

  • Maintain cutting edge capabilities through focus on strategic research and development

  • Work closely with strategic partners and universities to ensure continued alignment with research and industry best practices

  • Contribute to advancing analytical standards and best practices required

  • Other projects/tasks as assigned.

Qualifications:

  • Bachelor's degree in Engineering, Analytics, Mathematics, Statistics, Data Science

  • Master's degree preferred in Finance, Math & Engineering.

  • Minimum 10 years of experience in Accounting / Financial analytics, Data Analysis, Project management and leadership, statistical data analysis, knowledge of AS400 financial systems, oral and written communication to senior leadership required

  • Minimum 5 years of experience with SQL or Visual Basic programming required. Microsoft programs Access, Excel and PowerPoint required. Predictive modeling and forecasting techniques.

  • Strong knowledge of advanced analytics, statistics, and machine learning

  • Strong leadership and team management skills

  • Excellent communication and presentation abilities

  • Critical thinking and problem-solving

  • Ability to manage multiple priorities

  • Eager to grow and develop others though coaching and mentorship.

  • Professional leadership skills, able to manage 1-5 direct reports.

  • Regular, predictable, full attendance is an essential function of the job

  • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Physical Requirements:

The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.

While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.

Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.

Penske is an Equal Opportunity Employer

About Penske Truck Leasing/Transportation Solutions

Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.

Job Category: Other Corporate

Job Family: Finance

Address: 100 Gundy Drive

Primary Location: US-PA-Reading

Employer: Penske Truck Leasing Co., L.P.

Req ID: 2606237

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