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职位JPMorgan Chase

HR Product Analytics & Reporting- Quant Analytics Manager

JPMorgan Chase

HR Product Analytics & Reporting- Quant Analytics Manager

JPMorgan Chase

Plano, TX, United States, US

·

On-site

·

Full-time

·

2w ago

Are you passionate about turning data into decisive action?

As our Quant Analytics Manager, within the HR Product Analytics & Reporting team, you will deliver analytics solutions that uncover trends, evaluate performance, and provide actionable insights to guide product decisions.

Job Responsibilities:

  • Develop and refine product success metrics, translating data into clear, actionable insights for HR and business leaders.
  • Conduct deep-dive analyses to uncover trends, identify opportunities, and address challenges within HR products and processes.
  • Combine and harmonize data from multiple sources—including Oracle HCM or similar HRIS platforms—using Databricks and Alteryx to support robust analytics and reporting.
  • Streamline and automate data workflows to improve accuracy, efficiency, and scalability of analytics solutions.
  • Collaborate with HR, Finance, IT, product, UX, and engineering teams to understand needs, solve problems, and deliver impactful analytics.
  • Ensure data accuracy, integrity, and confidentiality in all analytics and reporting activities.
  • Proactively identify areas for innovation, resolve friction points, and share best practices across teams.

Job Qualifications, capabilities, and skills:

  • Bachelor’s degree in Business Analytics, Human Resources, Data Science, Information Systems, Statistics, or a related field; 7+ years of progressive experience in digital analytics, business intelligence, HRIS administration, or advanced analytics within a product-focused environment.

  • Hands-on experience with Tableau, Sigma, Alteryx, Databricks, and experience with Oracle HCM or a comparable HRIS platform.

  • Strong understanding of modern data stack architectures and web/mobile product development.

  • Advanced project management skills, with experience in agile methodologies and product lifecycle management.

  • Proven ability to define, deliver, and communicate product success metrics and performance narratives to executive audiences.

  • Exceptional analytical, problem-solving, and critical thinking abilities with attention to detail.

  • Knowledge of data privacy, confidentiality, security, and compliance requirements.

Preferred Qualifications, capabilities, and Skills:

  • Master’s degree preferred;

Experience integrating and harmonizing large, complex, and external data sources—including Oracle HCM or similar HRIS platforms—to generate deeper business insights.

  • Mastery of Tableau, Sigma Computing, Alteryx, Databricks, and other modern analytics platforms, including building scalable, automated solutions.
  • Familiarity with HR product platforms such as Oracle HCM, including data architecture and reporting workflows.
  • Proven track record of automating manual processes, optimizing data pipelines, and improving analytics efficiency and accuracy. and commitment to staying current with emerging analytics technologies, HR trends, and best practices.

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关于JPMorgan Chase

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+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study