Data Analyst

PACCAR • Bellevue, WA

13d

About The Position

The Data Analyst serves as a trusted analytics expert for PACCAR Financial Corp (PFC), providing business intelligence and advanced data analytics and data science across Sales & Marketing, Used Equipment Sales, and Credit. The role requires a detailed understanding of PFC processes and systems, the ability to source and integrate data from varied platforms, and the development of analytical products that improve business efficiency. Success depends on curiosity, comfort working in ambiguity, a passion for learning, and strong analytical and technical skills.

The analyst contributes to data science initiatives involving pricing optimization, product development, risk identification, and customer identification. They develop models, analyses, dashboards, automated data tools, and other solutions that support PFC’s strategic initiatives and business processes. The role collaborates with IT departments, regional finance offices, and cross-functional teams, and presents data science solutions to senior managers and executives.

Requirements

• Bachelor’s degree in Business Analytics/Intelligence, Data Science, Statistics, Computer Science, or a related field.
• Minimum 3 years of experience in a professional or corporate setting.
• Proficiency with analytic programming languages such as R and Python.
• Strong business acumen and communication skills.
• Understanding of foundational statistical concepts and the ability to apply appropriate techniques to analyze data and generate useful business insights.
• Self-directed learning, creativity, curiosity, and meticulous attention to detail.
• Understanding of data warehousing concepts and development approaches.
• Proficiency with SQL querying and relational database platforms, including SQL Server and Snowflake.
• Expertise in Microsoft Excel, including Excel functions and developing and editing VBA-scripted functions.
• Proficiency with data visualization and tools such as Tableau or Power BI.

Nice To Haves

• MBA or master’s degree in Analytics, Data Science, Operations Research, MIS, or a related field; or professional certifications such as CFA, CBIP, or MSCE in Business Intelligence.
• 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.

Responsibilities

• Contribute robust analysis and develop analytic tools for pricing optimization, product development, risk identification, and customer identification.
• Deliver timely, relevant, and accurate analytic results to business users at all levels.
• Apply appropriate AI/ML algorithms to create and use models supporting pricing, customer identification, rate setting, and other business processes.
• Identify, analyze, and interpret trends and patterns in complex data sets.
• Develop high-performance SQL queries for reporting and analysis.
• Create and support executive-level dashboards using Tableau.
• Respond rapidly to ad-hoc analytic requests.
• Enhance the value of PFC’s data assets.
• Maintain expertise in emerging technologies and analytic tools.
• Develop automated deployment pipelines, APIs, and data processing applications using on-premises and cloud-based tools to expand the department’s analytic capacity.
• Maintain 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 a cross-functional analytics team.
• Develop and implement AI-enabled process improvements to enhance data analysis and modeling capabilities and increase the speed, accuracy, and efficiency of work.

Benefits

• 401(k) with up to a 5% company match.
• Fully funded pension plan providing monthly retirement benefits.
• Paid time off, including a minimum of 10 paid vacation days, 12 paid holidays, and sick time.
• Tuition reimbursement for continued education.
• Medical, dental, and vision plans for employees and their families.
• Flexible spending accounts (FSA) and health savings account (HSA).
• Paid short- and long-term disability programs.
• Life and accidental death and dismemberment insurance.
• Employee Assistance Program services, including wellness plans, estate planning, and financial counseling.
• Holiday gift.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level