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채용JPMorgan Chase

Data Owner, Sr. Associate

JPMorgan Chase

Data Owner, Sr. Associate

JPMorgan Chase

Columbus, OH, United States, US

·

On-site

·

Full-time

·

3w ago

필수 스킬

SQL

Are you passionate about harnessing the power of data to shape the future of financial services? Join us and make a direct impact on how we deliver data to improve the Chase customer experience. Be part of a team that values your expertise and empowers you to make a difference. Together, we create value by making data accessible, reliable, and secure for our business and customers.

As a Sr. Associate Data Owner on the Fulfillment and Archive Services team, you will play a key role in supporting our data strategy and ensuring the quality and protection of data across our products. You will collaborate with product, technology, and analytics partners to deliver data that supports business objectives and advanced analytics. You will help identify and mitigate data risks, ensuring compliance with firmwide policies. This is an opportunity to contribute to the way we manage, protect, and leverage data across our organization.

Job Responsibilities

  • Support the development and delivery of product data to meet strategic business objectives and analytics needs
  • Collaborate with business partners to understand data usage and provide subject matter expertise
  • Assist in identifying and documenting critical data scope, meaning, and purpose, ensuring proper metadata classification
  • Contribute to analytics initiatives by identifying data required for integration into analytics platforms
  • Document and coordinate requirements for data accuracy, completeness, and timeliness
  • Help resolve data issues by working with resources and stakeholders
  • Participate in the development and implementation of processes to identify, monitor, and mitigate data risks
  • Support compliance with firmwide policies, standards, and procedures for data integrity and protection
  • Build relationships with data delivery partners and consumers across business, technology, analytics, and risk functions
  • Track and report on workstreams and key performance indicators to support successful deliveries

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree and 3+ years of experience in data-focused roles
  • Experience supporting delivery across multiple workstreams with varying timelines
  • Subject matter expertise in business or product data or processes
  • Technical knowledge of data management, governance, big data platforms, or data architecture, including use of SQL
  • Demonstrated ability to manage priorities and contribute to organizational goals
  • Proven ability to collaborate effectively with internal partners
  • Strong interpersonal and communication skills, with the ability to articulate technical concepts to various audiences
  • Structured thinker with strong business acumen
  • Understanding of Agile development methodology
  • Commitment to data quality, protection, and compliance

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study