Credit Acceptance is hiring for the position of Staff Business Analyst (Employer of Record) with a Data Engineering focus. This is an exciting opportunity for experienced Business Analysts who have strong knowledge of data strategy, business process improvement, technical solutions, analytics, and enterprise data management.
The position is listed for India – Remote and carries Job Requisition ID R13708. In this role, the selected candidate will work as an integrated member of the global Credit Acceptance team and collaborate closely with U.S.-based business, product, PMO, architecture, and engineering teams.
The Staff Business Analyst will play an important role in connecting business requirements with technical execution. The position involves defining data standards, improving data quality, supporting governance, analyzing complex business data, managing project risks, and helping the organization achieve measurable business value through technology and data.
COMPANY NAME
Credit Acceptance
Credit Acceptance is a major U.S. used-car finance company with a strong focus on helping customers and automotive dealers. The company emphasizes teamwork, innovation, customer focus, engineering excellence, accountability, and data-driven decision-making.
Job Details:
POST NAME: Staff Business Analyst (Employer of Record)
JOB LOCATION: India – Remote
Candidates should also be prepared to regularly overlap with U.S. business hours to support collaboration with global team members.
JOB TYPE: Full-Time
JOB REQUISITION ID: R13708
SALARY / CTC: The advertised CTC range for this position is:
₹27,71,295 – ₹40,64,566 per year
The final CTC will be communicated at the offer stage and may depend on skills, experience, education, certifications, industry background, and the EoR vendor’s compensation structure.
KEY RESPONSIBILITIES
The Staff Business Analyst will lead strategic data initiatives and ensure that business requirements are successfully converted into scalable technical solutions.
Key responsibilities include:
- Driving enterprise data strategy, governance, standards, traceability, lineage, mapping, and data quality.
- Translating business requirements into practical and future-ready technology solutions.
- Working with Product, PMO, Engineering, Architecture, and business stakeholders.
- Leading complex data analysis and generating insights for business and executive decision-making.
- Maintaining application backlogs and ensuring proper prioritization.
- Identifying project risks related to scope, timelines, budgets, and business impact.
- Supporting application performance, reliability, stability, and operational excellence.
- Identifying data and process gaps and driving continuous improvement.
- Supporting self-service analytics and business adoption of data solutions.
- Ensuring data initiatives deliver measurable business value.
- Acting as a trusted advisor and subject matter expert across multiple business and technical domains.
- Mentoring junior Business Analysts and helping improve team capabilities.
- Supporting AI/ML-related initiatives in collaboration with data science and engineering teams.
- Maintaining compliance with company policies, processes, legal requirements, and regulatory guidelines.
ELIGIBILITY CRITERIA
Applicants should have a Bachelor’s degree and at least 5+ years of experience in Business Analysis or a related role.
Candidates should have experience in technology-enabled solutions, requirements gathering, solution design, prototyping, User Acceptance Testing, project implementation, and business process improvement.
Experience with Business Process Reengineering in the finance industry is important. Candidates should also have successfully participated in or led at least two end-to-end project implementations as a Business Analyst.
Strong written and verbal communication skills are required. The ability to mentor less experienced Business Analysts and work effectively with technical and non-technical stakeholders is also expected.
PREFERRED SKILLS
Preferred candidates may have experience with:
- System Development Life Cycle (SDLC)
- Project management
- PMP certification
- Web application analysis
- Functional analysis
- Quality analysis
- Complex SQL and PL/SQL queries
- Database analysis and data pattern identification
- Java technologies
- Data engineering
- Data governance
- Data quality management
- Business process reengineering
- Advanced analytics
- AI/ML concepts
- Enterprise data architecture
EMPLOYER OF RECORD (EOR) MODEL
This position is hired through an Employer of Record (EoR) partner in India. The selected candidate will be legally employed in India through the EoR partner while working full-time and remaining fully aligned with Credit Acceptance’s global team.
Payroll, benefits, statutory coverage, and other locally compliant employment arrangements will be provided through the EoR partner.
IDEAL CANDIDATE
The ideal candidate should demonstrate an Owner’s Mindset, strong customer empathy, engineering excellence, teamwork, analytical thinking, problem-solving ability, and excellent communication skills. The candidate should be comfortable working independently in complex and ambiguous environments while collaborating with global teams.
HOW TO APPLY
Interested and eligible candidates can apply online through the official Credit Acceptance careers application page:
Applicants should carefully review the eligibility requirements and submit accurate professional and educational information while completing the online application.