Share this Job

Financial Data Analyst/Sr. Financial Data Analyst Job

Date: Sep 16, 2022

Location: Bellevue, WA, US, 98004

Company: PACCAR

Company Information

 

PACCAR is a Fortune 500 company 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.

 

We’re investing in sustainability for the long haul. We are a purpose-led, values-driven company that believes the work we do today makes a difference tomorrow. Whether you are starting out your career or continuing to build upon one, PACCAR provides opportunities for both! Join a community of professionals that is helping build the best in industry products and services that keep our communities running! 

 

Requisition Summary

This position is located at PACCAR’s global headquarters in downtown Bellevue, Washington, and provides an exciting opportunity to support the strategic direction of PACCAR by developing and applying analytical models that identify and quantify risk in PACCAR’s global portfolio of financial products. 

As a Data Analyst within the Portfolio Risk and Analysis Group, you will provide analytically sound risk models that inform credit decisions by PACCAR’s finance organizations in Europe, North America, Latin America, and Australia, as well as senior management and company executives. You will utilize your education and work experience to drive new projects and improvements to existing processes.  Company executives and analytic partners will rely on you for timely, trustworthy, and relevant business insights gained through best practices in data science and advanced analytic techniques.

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

 

 

Job Functions / Responsibilities

  • Manage and document the full lifecycle of analytic projects (problem statement through solution performance monitoring).
  • Provide accurate, relevant, and meaningful analysis to management to support strategic and tactical decision-making.
  • Develop and evaluate predictive models of credit risk and portfolio performance.
  • Work with PACCAR’s global credit divisions to develop consistent credit scorecards and risk models.
  • Access database and source system to extract required data for analysis.
  • Analyze, validate, and explain the data used for model development, including variance reporting, sensitivity analysis, and outlier/anomaly detection.
  • Develop and implement process improvements to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.
  • Conduct ‘quick-turn’ analysis to support emerging business decision-making requirements.
  • Effectively communicate analytic results that demonstrate business impacts to senior managers and executives.
  • Collaborate with entire Portfolio Risk and Analysis Team to introduce new approaches and perspectives across all team functions. 

 

Qualifications & Skills

  • Bachelor’s degree in Analytics, Statistics, Business, Finance, Computer Science or related field required.
  • Minimum 3 years relevant work experience. 
  • Proficient with statistical techniques and modeling including binary logistic regression, stepwise regression, chi-squared testing, ROC curves, and other statistical methods.
  • Strong data gathering, analyzing, interpreting, and problem-solving skills.
  • Advanced proficiency with SQL querying.
  • Understanding of principles of relational database design, data modeling, and ETL processes.
  • Highly motivated, self-directed learner with a creative mind and high attention to detail.
  • Excellent general business acumen, with the ability to concisely communicate complex topics across all levels of the company.
  • Ability to navigate dynamic business needs and demonstrate adaptability in building analytic models/solutions.   
  • Insatiable curiosity and ability to collaborate and build relationships with stakeholders across PACCAR’s global credit organizations. 
  • Experience with programming in statistical programming languages (R and/or Python).
  • Proficiency with data visualization software (Tableau).
  • Exposure to modeling credit risk and stress testing.
  • Desire to gain experience in cloud-based computing and application development.

 

 Preferred Qualifications:

  • Graduate degree in Business, Computational Finance, Analytics, MIS or related field.
  • Professional certifications such as CFA, CBIP, or MSCE in Business Intelligence.

 

 

U.S. Salaried Benefits

 

PACCAR offers comprehensive benefits from time of hire through retirement for vested employees and their families. As a U.S. Salaried PACCAR employee, you have a full range of benefit options including:

  • Medical, Dental and Vision plan options
  • Flexible spending accounts and health savings account
  • 401(k) with dollar-for-dollar company match up to 5%
  • Fully funded pension plan that provides monthly benefits after retirement
  • 12 paid holidays, sick and vacation time
  • Tuition reimbursement program
  • 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

 

 

Additional Job Board Information

If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site.

 

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability and E-Verify Employer.

 

 


Nearest Major Market: Seattle
Nearest Secondary Market: Bellevue

Job Segment: Data Analyst, Financial Analyst, Cloud, Statistics, Data Modeler, Data, Finance, Technology