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Data Analyst (Korean Speaking)

Woori America Bank

New York · On-site Full-time Entry Level $50k – $60k/yr Today

About the role

About

Woori America Bank is seeking an Entry Level Data Architect / Data Analyst to support data architecture design, data pipeline development, and analytical insights across the organization. This role is open to all majors, with preference for candidates from data‑related disciplines.

Woori America Bank was established in 1984 as a local subsidiary of Woori Bank in Seoul, South Korea. We have developed ever since, being a supportive financial partner to our customers with differentiated financial services and customer‑centric management.

Our most important asset is our employees. Without our motivated, dedicated and responsible employees, it would be impossible to provide high‑quality customer service. Our mission is to deliver high‑quality customer service that meets the financial need of our community. We are now hiring people who have passion for providing our customers high‑quality financial services.

Woori America Bank is a responsible employer dedicated to the well‑being of its employees. All applicants will be given equal opportunity and fair wage regardless of race, color, ethnicity, national origin, sex, age and/or physical condition.

Responsibilities

  • Design, maintain, and improve data architecture, including data models, structures, and standards
  • Develop and manage data pipelines, ETL/ELT processes, and data integration workflows
  • Perform data analysis, reporting, and visualization to support business decision‑making
  • Ensure data quality, consistency, and governance across systems
  • Collaborate with cross‑functional teams to understand data requirements and deliver solutions
  • Support database management, performance optimization, and documentation
  • Contribute to improving data processes, automation, and overall data infrastructure

Qualifications

  • Bachelor's degree required: Open to all majors; preference for data‑related disciplines (Data Science, Statistics, Computer Science, etc.)
  • Understanding of data concepts such as databases, data modeling, ETL, and analytics
  • Strong analytical and problem‑solving skills
  • Ability to learn data tools, platforms, and technologies quickly
  • Experience with SQL, Python, BI tools, or data engineering frameworks is a plus
  • For senior roles: experience in data architecture, pipeline design, or large‑scale data systems are highly valued

All candidates must speak and write Korean fluently in order to be considered.

Employment Details

  • Job Type: Full-time
  • Pay: $50,000.00 - $60,000.00 per year
  • 근무 형태: 정규직
  • Work Location: In person, New York, NY 10001 (Required)

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Relocation assistance
  • Vision insurance

Application Question(s)

  • Will you now or in the future require sponsorship for employment visa status?

Language

  • Korean (Required)

Ability to Commute

  • New York, NY 10001 (Required)

Requirements

  • Bachelor's degree required: Open to all majors; preference for data‑related disciplines (Data Science, Statistics, Computer Science, etc.)
  • Understanding of data concepts such as databases, data modeling, ETL, and analytics
  • Strong analytical and problem‑solving skills
  • Ability to learn data tools, platforms, and technologies quickly
  • For senior roles: experience in data architecture, pipeline design, or large‑scale data systems are highly valued
  • All candidates must speak and write Korean fluently in order to be considered
  • Korean (Required)
  • New York, NY 10001 (Required)

Responsibilities

  • Design, maintain, and improve data architecture, including data models, structures, and standards
  • Develop and manage data pipelines, ETL/ELT processes, and data integration workflows
  • Perform data analysis, reporting, and visualization to support business decision‑making
  • Ensure data quality, consistency, and governance across systems
  • Collaborate with cross‑functional teams to understand data requirements and deliver solutions
  • Support database management, performance optimization, and documentation
  • Contribute to improving data processes, automation, and overall data infrastructure

Benefits

paid_time_offdental_coveragehealth_insurance

Skills

ETLSQLPython

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