Application Data Quality Associate

Hyundai Capital•Irvine, CA

19d•Hybrid

About The Position

Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. The Application Data Quality Associate is responsible for demonstrating technical competency in delivering application data oversight and quality control. This role will work with business, technical teams, data governance and quality assurance teams to develop data quality control procedures.

Requirements

Minimum 2-4 years of relevant work experience in data quality, data analysis and data validations. Auto-finance experience a must.
Experience with SQL, Informatica and Tableau.
Bachelor's degree or equivalent related work experience.
Working knowledge with Informatica/ETL tools.
Strong knowledge of Oracle SQL and PostgreSQL
Strong interpersonal skills to collaborate across teams.
Strong written and verbal communication skills and ability to negotiate.
Familiarity with process modeling.

Responsibilities

Data Management · Perform data comparison between core systems based on the data definition. · Develop, implement, and maintain data quality rules, monitoring checks, and validation frameworks to measure the quality of data using insightful metrics at source system level – (CRM, DayBreak, etc.) · Create Extract, Transfer, Load (ETL) process for data elements using Informatica to deliver the results efficiently.
Quality Management · Consult with business to gather the requirements and document the various test scenario/cases. · Closely work with QA team to align and assist data quality tests and automate regression testing.
Work closely with and assist Data Governance (DG) team to implement a proper Data Governance framework for the overall enterprise.