Senior Data Analyst

2 weeks ago

Reading, United States Penske Transportation Solutions Full time

POSITION SUMMARY:
The Senior Data Analyst - Field Operations Planning serves as analytical partner/SME to the business and is responsible for building, presenting, and partnering with the business on people and data analytics enabled solutions – from generating insights to the identification of changes to people programs and workforce structures.

The Field Operations Planning function for Penske Truck Leasing balances quantity, quality and location of critical talent necessary to meet business needs. Through organizational partnership and predictive analytics, we can maximize our footprint for anticipated growth. This position works as part of a team or in conjunction with department leadership to curate, create, and report out insights driven by data. 

Optimally qualified candidates will have prior experience supporting labor/workforce planning and capacity modeling efforts through the use of data. This role will report to the Vice President of Field Operations Planning for Penske Truck Leasing and collaborate across an internal team and many different resources across the organization. This position is based out of our corporate offices in Green Hills/Reading, PA. Visa sponsorship is not offered for this position. 

RESPONSIBILITIES:

Data Gathering and Assessment
• Working with and across subject matter experts in the organization, ensure access to information on locations, role information, headcount, hiring, and turnover within the organization. 
• Partner with leadership and HR to understand key indicators that exist to help identify location capacity, staffing needs, and shift scheduling opportunities to compile data for analysis of efficiencies. Obtain and assess other business inputs including growth estimates, forecasts, seasonal trends, business transactional data, sales, scenario modeling, and predictive workforce planning efforts in maintenance and rental. 
• Utilize and leverage external labor market and skills availability, projecting for the future needs.
• Actively participate with the Field Op’s Team by providing unique perspective of critical data and highlight correlations between location capacity, labor capacity, and other key metrics. Identify additional needs for exploration based upon your interpretation of the data and other areas of focus.

Project Based Analytical Support
• Perform quantitative and qualitative analysis using traditional and advanced analytical models, tools and techniques, including trending, correlation, budgeting\financial planning, forecasting, and what-if scenario analysis, for field and corporate leadership
• Effectively communicate the results and data driven recommendations/proposals to business partner.

Process Documentation, Recurring Processes, and Reporting
• Execute recurring reporting requests
• Maintain and support the upkeep of existing analytics and reporting
• Business and Financial Coordination and Analysis

Educate Leaders and Business Partners
• Leverage developed tools and independent research to prepare presentations synthesizing analysis into clear, understandable findings and recommendations. Interpret data, draw conclusions, write reports, document findings, answer questions and make actionable recommendations.

Provide Enterprise Solutions
• Collaborate with HR functional experts and business leadership to develop key metrics, BI, and Advanced Analytical solutions that influence/enable decision making across the enterprise.
• Lead customer partnership/interactions through functional design & requirements gathering, expert recommendations, communication, and training in order to maximize the impact of analytical tools.
• Define, design, develop and deploy dashboards, reports and workforce planning tools with appropriate security models.
• Coordinate and execute the data wrangling, data engineering, security standards, and automation required to maximize impact and minimize required maintenance.
• Investigate trends, best practices, benchmarks and out of industry examples to identify opportunities and approaches to utilize in analysis. Collect and review existing primary and secondary research and analyses, industry periodicals, company information, public information, academic literature, and other sources to answer questions, shape analytical plans, and supplement current analyses.
 

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