Data Analyst

PACCAR•Bellevue, WA

13d•$80,800 - $120,800

About The Position

This position serves as an analytics expert for PACCAR Financial Corp (PFC), providing business intelligence, advanced data analytics, and data science support across Sales & Marketing, Used Equipment Sales, and Credit. The role applies a detailed understanding of PFC processes and systems, sources and integrates data from a wide range of platforms, and develops analytical products to improve business efficiency. Success depends on curiosity, comfort working in ambiguity, a passion for learning, and strong analytical and technical skills. The Data Analyst contributes to data science initiatives through analysis and analytic tools focused on pricing optimization, product development, risk identification, and customer identification. The role uses AI and machine-learning algorithms to develop models supporting strategic and operational processes, analyzes complex datasets, builds SQL queries and executive dashboards, and responds to ad hoc requests. It also enhances PFC’s data assets by keeping current with emerging technologies, building automated deployment pipelines, APIs, and data-processing applications using on-premises and cloud tools, and collaborating with IT teams and regional finance offices. The position develops and presents data science solutions to senior leaders and supports cross-functional initiatives and AI-enabled process improvements.

Requirements

Bachelor’s degree in Business Analytics/Intelligence, Data Science, Statistics, Computer Science, or a related field.
At least 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.
Ability to understand and apply foundational statistical concepts and appropriate analytical techniques to 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.
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.

Responsibilities

Contribute analysis and develop analytic tools for data science initiatives focused on 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 and machine-learning algorithms to develop and use models supporting strategic initiatives such as pricing, customer identification, and rate setting.
Identify, analyze, and interpret trends and patterns in complex datasets.
Develop high-performance SQL queries for reporting and analysis.
Create and support executive-level dashboards using Tableau.
Respond rapidly to ad hoc analytic requests.
Maintain expertise in emerging technologies and analytic tools.
Develop automated deployment pipelines, APIs, and data-processing applications using on-premises and cloud-based tools.
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 PACCAR Financial Corp initiatives as part of a cross-functional analytics team.
Develop and implement AI-enabled process improvements to increase the speed, accuracy, and efficiency of data analysis and modeling.

Benefits

401(k) with up to a 5% company match.
Fully funded pension plan providing monthly benefits after retirement.
Paid time off, including a minimum of 10 paid vacation days, 12 paid holidays, and sick time; additional vacation days are provided with seniority/years of service.
Tuition reimbursement for continued education.
Medical, dental, and vision plans for the employee and family.
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.