Sr. Finance Analyst, Warranty Data Analytics

GM Global Technical Center - Champion Service Operations, United States

General Motors

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Job Description

Hybrid- Position does not require an employee to be on-site full-time.

  • This position requires an employee to be onsite 3 times per week.

The Role

The Warranty Data Analytics team is looking for an innovative, forward-thinking analyst to join their team. The Warranty Data Analytics Sr Finance Analyst is responsible for understanding GM warranty business processes, developing forecasting models and analyzing data trends. The role requires a high level of independent judgment, decision making and analytical capabilities, and ability to communicate complex data analyses and results.

What You'll Do

  • Understand new warranty coverages and develop new models

  • Develop and analyze warranty forecasting models using actuarial concepts

  • Provide input for quarterly reserve adequacy studies based on actuarial analysis of claims spend

  • Assess reserve balances using actuarially accepted techniques appropriate for the type and length of coverage or size of the balance

  • Contribute to the annual warranty accrual rate setting process

  • Provide data deliverables and ad-hoc support to the GM North America and GM International Warranty Accounting teams

  • Utilize new technologies and solutions to support data analytics and dashboarding

  • Partner with IT to explore machine learning for predictive analytics

  • Support IT with infrastructure and technology changes

  • Develop and present data solutions to other members of the organization

  • Assist with special projects and ad hoc reporting requests

  • Maintain controls and work with Financial Assurance and external auditors to streamline existing business processes and develop new/enhanced control procedures 

  • Collaborate with Global Warranty, Controllership, Finance, IT & external auditors

  • Model GM’s desired behaviors including safety

  • Actively promote GM’s culture of diversity, equity and inclusion

Additional Job Description

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s Degree in Finance, Mathematics, Statistics, Actuarial Science or related field

  • 5 + years of relevant experience in Actuarial Science, Finance, Data Analytics and/or related field

  • Experience with SQL/ HQL/ Python

  • Actuarial experience or experience in statistical modeling and forecasting

  • Knowledge of VBA, HUE, Power BI, and/or KNIME

  • Experience with Sarbanes-Oxley compliance

  • Ability to prioritize assignments/projects and deliver within restricted time constraints

  • Strong interpersonal skills and demonstrated commitment to teamwork and partnerships

  • Ability to embrace and manage change

  • Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the GM - Global Technical Center HQ Warren, MI three times per week, at minimum [or other frequency dictated by the business]




    Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate

    GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

    #LI-MD1

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data Analytics Finance KNIME Machine Learning Mathematics Power BI Python SQL Statistical modeling Statistics STEM

Perks/benefits: Career development Equity / stock options

Region: North America
Country: United States

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