Financial Business Intelligence Data Analyst

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business.
 
Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!

Requisition Summary

PACCAR Financial Corp facilitates the sale of premium-quality PACCAR vehicles in 22 countries on four continents worldwide by offering a full spectrum of creative, flexible financial products and value-added services specifically tailored to the transportation industry. 

This position serves as a trusted analytics expert, responsible for providing PACCAR Financial Corp (PFC) with Business Intelligence and Advanced Data Analytics/Data Science across functional areas of Sales & Marketing, Used Equipment Sales, and Credit. The selected analyst will be responsible for developing a detailed understanding of PFC process and systems, sourcing data from a wide range of data platforms, integrating relevant data to support business requirements, and developing analytic products and data visualizations that enhance business efficiency. 

Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept data management skills.

Job Functions / Responsibilities

• Contribute to Data Science initiatives by providing robust analysis and developing analytic tools focusing on pricing optimization, product development, and risk identification within a complex environment
• Deliver timely, relevant, and accurate analytic results to business users at all levels
  • Identify, analyze, and interpret trends and patterns in complex data sets
  • Develop high-performance SQL queries to support reporting and analysis
  • Create and support executive-level dashboards using Tableau
  • Provide rapid responses to ad-hoc analytic requests
• Enhance the value of PFC’s data assets
  • Maintain expertise in emerging technologies and analytic tools
  • Expand the department’s analytic capabilities by developing automated deployment pipelines, APIs, and data processing applications using on-premises and cloud-based tools
  • Maintain strong working relationships with IT departments and regional finance offices to facilitate adoption of digital transformation initiatives
  • Develop and present data science solutions to senior managers and executives
• Support PFC initiatives as an integral member of an effective cross-functional analytics team

Skills / Competencies

• 2+ years of experience in quantitative analysis, with strong business acumen and communication skills
• Understands and can apply foundational statistical concepts, and apply appropriate techniques to analyze data and generate useful business insights
• Highly motivated self-directed learner with a creative mind, insatiable curiosity, and meticulous attention to detail
• Understanding of data warehousing concepts and development approaches
• Proficiency with SQL querying and use of relational database platforms such as SQL Server and Snowflake
• Expertise in Microsoft Excel: adept at leveraging Excel functions and able to develop and edit VBA-scripted functions.
• Proficiency with data visualizations and tools such as Tableau or Power BI

Qualifications Desired

• Demonstrable in-depth understanding of data structures and ETL processes (including SSIS)
• Expertise in a data-centric programming language such as Python or Javascript
• Hands-on data modeling experience
• Proficiency with core AWS services
• Basic understanding of commercial financial principles

Education

• Bachelor’s degree in Business Analytics/Intelligence, Data Science, Statistics, Computer Science, Operations Research or related field required
• MBA or Master’s degree in Computational Finance, Analytics, Data Science, Operations Research, MIS or related field; or professional certifications such as CFA, CBIP, or MSCE in Business Intelligence desired

Paccar Benefits

As a U.S. PACCAR employee, you have a full range of benefit options including:

• Competitive salary and 401k with up to a 5% company match
• Fully funded pension plan that provides monthly benefits after retirement
• Comprehensive paid time off – Minimum of 10 paid vacation days, 12 paid holidays, and sick leave
• Tuition reimbursement for continued education 
• Medical, dental, and vision plans for you and your family
• Flexible spending accounts (FSA) and health savings account (HSA)
• Paid short-and long-term disability program
• Life and accidental death and dismemberment insurance
• EAP services including wellness plans, estate planning, financial counseling and more
• Global Fortune 500 company with a wide array of growth and development opportunities
• Work alongside experienced goal-oriented colleagues recognized as experts in their field
• This position is also eligible for a holiday gift

Additional Job Board Information

PACCAR is an E-Verify and Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors including your education, training, or experience. The salary range for the Financial Business Intelligence Data Analyst position is $75,100 -$112,300 annually. Additionally, this role is eligible for the full range of benefit options listed above.

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