> Markdown version of [/jobs/ext/3951065-data-analyst](https://www.wearedevelopers.com/jobs/ext/3951065-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** PACCAR Inc - **Location:** Bellevue, WA, United States - **Experience:** Experienced - **Salary:** $80,800.0 - $120,800.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Extract Transform Load (ETL), Data Structures, Data Visualization, Data Warehousing, Relational Databases, Database Queries, Excel Formulas, Python (Programming Language), Machine Learning, Microsoft SQL Server, Power BI, Cloud Services, SQL Databases, SQL Server Integration Services, Tableau (Software), Data Processing, Snowflake, Information Technology, Deployment Automation, Vba Programming Language, Data Analytics, Data Management - **Published:** October 27, 2026 - **Apply:** https://diversityjobs.com/career/18752183/Data-Analyst-Washington-Bellevue ## About the Role * Bachelor's degree in Business Analytics/Intelligence, Data Science, Statistics, Computer Science or related field * Minimum 3 years of experience in a professional or corporate setting * Proficiency with analytic programming languages (R, Python) * 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 (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 * MBA or Master's degree in Analytics, Data Science, Operations Research, MIS or 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 ## Description 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. This position is responsible for applying a detailed understanding of PFC processes and systems, sourcing data from a wide range of data platforms, integrating relevant data to support business requirements, and developing analytic products 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 analytic technical skills. Job Functions / Responsibilities * Contribute to Data Science initiatives by providing robust analysis and developing analytic tools focusing on pricing optimization, product development, risk identification, and customer identification within a complex environment * Deliver timely, relevant, and accurate analytic results to business users at all levels + Employ appropriate AI/ML Algorithms in creation and employment of models that support PFC's strategic initiatives for 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 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 capacity 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 * Develop and implement process improvements leveraging AI to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.