Job Title: Business & Data Analyst- Commercial lending with AFS Experience: 10+ Years Location: Hybrid- Iselin NJ/Johnston RI Position Summary We are seeking an experienced Business Data Analyst with strong expertise in Commercial Lending and Loan Operations to support data analysis and integration initiatives across lending platforms. The ideal candidate will work closely with operations teams, technology teams, and business stakeholders to analyze lending workflows, data structures, and system integrations. This role requires strong knowledge of commercial lending processes, hands‑on experience with AFS and LoanIQ platforms, and familiarity with API‑based integrations and data flows across enterprise systems. Primary Responsibilities Business & Data Analysis Gather, analyze, and document business and data requirements related to commercial lending operations. Work closely with operations teams to understand loan lifecycle processes including origination, servicing, payments, and reporting. Translate business requirements into functional and technical specifications for development and integration teams. Analyze data flows across lending platforms and identify data gaps, inconsistencies, and process improvements. Support initiatives involving AFS and LoanIQ systems including data mapping, reporting, and operational workflows. Understand and document loan servicing, credit structures, and operational processes within commercial lending. Collaborate with technology teams to ensure accurate data exchange between systems. System Integration & APIs Work with engineering teams to define API requirements and integration workflows across lending and enterprise systems. Support data mapping, transformation, and validation for API‑based integrations. Ensure data integrity and consistency across multiple financial systems and platforms. Stakeholder Collaboration Act as a liaison between business users, operations teams, and technology teams. Facilitate workshops and discussions to clarify requirements and align stakeholders. Provide insights and documentation to support system implementations and process improvements. Required Skills & Experience 8–12+ years of experience as a Business/Data Analyst within Commercial Banking or Financial Services. Strong experience working with Commercial Lending and Loan Operations teams. Hands‑on experience with AFS and LoanIQ platforms. Experience working with API integrations and data exchange between enterprise systems. Strong understanding of commercial lending lifecycle and operational workflows. Experience analyzing data structures, system integrations, and reporting requirements. Excellent documentation, communication, and stakeholder management skills. Preferred Skills Experience working with loan servicing, credit operations, and lending data platforms. Familiarity with Agile methodologies and JIRA for requirement tracking. Experience supporting data transformation, integration, and reporting initiatives. Understanding of financial data governance and regulatory requirements. Nice to Have Experience working with commercial lending transformation or modernization programs. Familiarity with data visualization or reporting tools. Prior experience supporting large banking or financial services organizations. Company Profile Stratacent is a Global IT consulting and Services firm, headquartered in Jersey City, NJ, USA with offices in the UK, Canada, and South Africa, and global capability centers (GCC) in Pune and Gurugram in India. Our focus areas include Data and AI, Cloud Services, Automation, IT Operations, Application Development, and Information Security. Global managed services firm assisting customers with digital transformation, including data and analytics, cloud services, automation, and IT service management. URL Employee Benefits Stratacent is an equal opportunity employer. As such, to the extent defined by federal, state, and municipal law, Stratacent will not discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, age, sex, national origin, ancestry, handicap, or any other factor protected by law. #J-18808-Ljbffr