What are the responsibilities and job description for the Operations Analyst I/ Operations Analyst II -Servicing Analytics position at GM Financial?
Overview
Why Servicing Analytics?
Curiosity, collaboration, and learning agility are the key components for a successful Operations Analyst -Servicing Analytics. This role is responsible for using data mining, validation, and analytical techniques to provide operational support for all Servicing departments within the GM Financial Consumer Services group. Curiosity and operational insights into how businesses function and how the data and operations interact plays a huge role in growth. Collaborating with teammates and Servicing management is expected and encouraged. Servicing auto finance accounts is a fast-moving, fast-changing, fast-paced world that requires learning agility. Successful candidates will find an atmosphere where learning never stops, growth is encouraged, and operational excellence is the goal.
We are looking for candidates at various levels of experience to join our team as Operations Analyst. This position is a full-time opportunity. We are not able to provide sponsorship at this time.
Responsibilities
About the role:
The Servicing Operations Analyst has responsibility for assisting in creating, documenting, monitoring and evaluating servicing performance, servicing process standardization, servicing policies, servicing automation and strategically executing on Company initiatives. To perform these functions, the Servicing Operations Analyst will effectively serve in a liaison capacity, collaborating with resources from other functional areas including Audit, Servicing Analytics, Legal, Compliance and the center leadership teams.
In This Role You Will
What makes you a dream candidate?
Knowledge
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.
Why Servicing Analytics?
Curiosity, collaboration, and learning agility are the key components for a successful Operations Analyst -Servicing Analytics. This role is responsible for using data mining, validation, and analytical techniques to provide operational support for all Servicing departments within the GM Financial Consumer Services group. Curiosity and operational insights into how businesses function and how the data and operations interact plays a huge role in growth. Collaborating with teammates and Servicing management is expected and encouraged. Servicing auto finance accounts is a fast-moving, fast-changing, fast-paced world that requires learning agility. Successful candidates will find an atmosphere where learning never stops, growth is encouraged, and operational excellence is the goal.
We are looking for candidates at various levels of experience to join our team as Operations Analyst. This position is a full-time opportunity. We are not able to provide sponsorship at this time.
Responsibilities
About the role:
The Servicing Operations Analyst has responsibility for assisting in creating, documenting, monitoring and evaluating servicing performance, servicing process standardization, servicing policies, servicing automation and strategically executing on Company initiatives. To perform these functions, the Servicing Operations Analyst will effectively serve in a liaison capacity, collaborating with resources from other functional areas including Audit, Servicing Analytics, Legal, Compliance and the center leadership teams.
In This Role You Will
- Collaborate with Servicing operational and administrative management
- Ensure efficiencies and excellence in daily functions
- Perform reporting, ad hoc data mining, and analytical functions as needed to support information requests from all Servicing departments
- Utilize best practices of data analysis and validation to ensure data results are accurate
- Enhance knowledge of operational and portfolio metrics to assess risk
- Conduct data and business analysis utilizing data mining and spreadsheet skills
- Communicate findings, develop recommendations, and present analyses to management in a clear, concise, convincing, and actionable format
- Represent Servicing Analytics in enterprise project
- Manage projects independently
What makes you a dream candidate?
Knowledge
- Business operations
- Knowledge of the metrics utilized in monitoring the servicing of a lending portfolio
- Reporting
- Data mining
- Data analysis and validation techniques
- Logical processing/programming
- Communication
- Project management
- Proficiency with Microsoft Excel, Word, and PowerPoint
- Ability to interact collaboratively with internal customers
- Effective written and verbal presentation skills
- Proactive and detail-oriented
- Ability to work with minimal supervision
- Capable of managing multiple and varied projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
- Demonstrated quantitative skills
- SQL (Base SAS preferred)
- High School Diploma or equivalent required
- Bachelor’s Degree in related field or equivalent work experience required
- Master’s Degree in MIS, Finance, Economics, or Business preferred
- Ops Analyst I: 0-2 years working with data mining (SQL), experience large multi-table datasets and consumer loan/lease portfolio servicing analysis.
- Ops Analyst II: 2-3 years data analysis and validation techniques required; report or spreadsheet modeling, querying large multi-table dataset and date presentation with consumer loan/lease portfolio servicing analysis preferred
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2 days a week in the office.
