Data Analyst

American Credit Acceptance, LLC; Spartanburg, Northern (SC, KY); Hybrid; USD 70,000 - 90,000; Full time

Job summary

American Credit Acceptance, LLC is seeking an Analyst to provide accurate analyses and timely recommendations to Finance, Capital Markets, Accounting, Executive Management, and other teams. You will develop data insights to optimize enterprise business performance and support decision-making.

The role emphasizes critical thinking, dashboard development with SQL/Python, and using Power BI/Tableau/Sigma to translate data into actionable guidance.

Qualifications

• Bachelor's degree in Finance, Business Analytics, Economics, Statistics, Data Science, or related field.
• Strong analytical and problem-solving skills with the ability to connect data to financial and business outcomes.
• Strong communication, presentation, time-management, and problem-solving skills in a fast-paced environment.

Responsibilities

• Analyze financial and operational data to identify trends, risks, and opportunities across P&L, FV, CECL, tax, liquidity, capital planning, and financial reporting.
• Analyze business problems to improve Finance Department operations and business performance.
• Build, maintain, and automate dashboards, reports, databases, and analytical solutions using SQL or Python and visualization tools (Power BI, Tableau, Sigma).
• Develop and support FV, CECL, vintage, and other financial or statistical models, including data prep, validation, monitoring, testing, and documentation.
• Partner with Finance, Accounting, Treasury, Internal Audit, Legal, Compliance, Servicing, and others to translate business needs into scalable analytics solutions.
• Use AI-enabled technologies and automation to improve productivity and analytical quality.
• Present analytical findings and recommendations to leadership and drive actionable insights and data governance.

Skills

Analytical thinking

Problem solving

Communication

Presentation

Time management

Education

Bachelor's degree in Finance/Business Analytics

Tools

SQL

Python

Power BI

Tableau

Sigma

Job description

Description

JOB DESCRIPTION

Summary/Objective

The analyst will provide accurate and timely analyses and recommendations to Finance, Capital Markets, Accounting, Executive Management, and other teams. The position will be required to think critically and analytically to develop and communicate data insights, which will be used in decision-making to optimize enterprise business performance.

Essential Functions

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Analyze financial and operational data to identify trends, risks, and opportunities across drivers of Profit and Loss, Fair Value (FV), CECL, tax, liquidity, capital planning, and financial reporting.
• Analyze business problems within the company with a focus on improving the operations of the Finance Department and underlying business performance.
• Build, maintain, and automate dashboards, reports, databases, and analytical solutions using SQL or Python and visualization tools such as Power BI, Tableau, or Sigma.
• Develop and support FV, CECL, vintage, and other financial or statistical models, including data preparation, validation, monitoring, testing, and documentation.
• Partner with Finance, Accounting, Treasury, Internal Audit, Legal, Compliance, Servicing, and other teams to translate business needs into scalable data and analytics solutions.
• Use AI-enabled technologies and automation to improve productivity and analytical quality.
• Present analytical findings and recommendations to leadership and contribute to actionable insights, reporting modernization, data governance, and continuous improvement.

Qualifications

Bachelor's degree in Finance, Business Analytics, Business Intelligence, Economics, Statistics, Data Science, or a related discipline.

• Strong analytical and problem-solving skills with the ability to connect data to financial and business outcomes.
• Strong communication, presentation, time-management, and problem-solving skills, with the ability to work effectively in a fast-paced environment with a high degree of autonomy.

Preferred Qualifications

• 1+ years of experience in a financial institution, finance company, or related finance, business analytics/intelligence, or risk function.
• Experience with SQL, Python, or another programming language.
• Experience with Power BI, Tableau, Sigma, or another data visualization platform.

Supervisory Responsibility

This position has no supervisory responsibilities.

Work Environment and Physical Demands

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines.

Position Type/Expected Hours of Work

This is a full-time position. Days of work are Monday through Friday. The daily schedule may vary from 8 am to 5 pm or 9 am to 6 pm. Hours may vary or exceed 40 in any given week depending on the needs of the business.

Travel

No travel is expected for this position.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

EEO Statement

ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.

ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

California Privacy Notice

As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.