Jobs
Join us on the Work Activity Data Utility (WADU) team, where your passion for data will shape strategic decisions across the firm. You’ll be part of a collaborative group that values creativity, logical thinking, and teamwork. Here, you’ll help build a new capability to leverage Workforce Activity data for meaningful business outcomes. We empower you to grow your skills, innovate, and make a real impact. Discover how your work can drive unbiased storytelling and support investment insights.
As a Data Management Analyst in the WADU Data team within the Corporate Sector at CAO and HR, you will play a key role in the end-to-end data journey. You will source, ingest, and assure the quality of data, always seeking creative ways to improve our processes. You will help determine data usability for client-focused use cases and support the development of new products. Your work will ensure our analytics deliver maximum value to end users, and you’ll collaborate closely with stakeholders and technology partners.
Job Responsibilities:
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Ensure data accuracy and integrity throughout the data journey
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Evaluate current use cases, conduct gap analysis, and identify opportunities for product development
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Engage with clients to maximize the value of analytics and insights
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Manage the innovation life cycle from ideation and prototyping to requirements translation for technology teams
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Build and maintain strong relationships with stakeholders
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Create compelling visual data representations
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Collaborate with team members to drive continuous improvement
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Support unbiased storytelling through data
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Contribute to strategic and investment insights using workforce activity data
Required Qualifications, Capabilities, and Skills:
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Passion for data and strong data skills
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Proficiency with data tools such as SQL, Alteryx, Excel, Tableau, Qlik Sense, and JIRA
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Ability to query, interrogate, and ensure data accuracy and quality
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Effective team player across functions
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Strong analytical and problem-solving skills, with an entrepreneurial mindset
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Ability to structure and scope complex problems and take ownership
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Excellent interpersonal skills for building relationships with stakeholders and technology partners
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Effective organizational and project management abilities
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Clear and confident communication skills across all organizational levels
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Appreciation for the evolving world of data and artificial intelligence
Preferred Qualifications, Capabilities, and Skills:
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Experience in workforce analytics or similar data-driven environments
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Familiarity with data visualization best practices
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Exposure to product development or innovation cycles
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Understanding of client engagement strategies
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Experience working in cross-functional teams
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Ability to adapt to changing business needs
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Interest in emerging data technologies
Why Join Us?
Be part of a team that values your creativity and curiosity. At WADU, you’ll have the opportunity to innovate, grow your career, and make a meaningful impact on how we use data to drive business success.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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