招聘
You are a strategic thinker passionate about driving solutions in Analytics Solution. You have found the right team.
As an Analytics Solutions Associate within the Home Lending Consumer & Community Banking Finance Data & Insights Team, you will play a pivotal role in supporting the Consumer & Community Banking line of business. You will serve as a key liaison between business stakeholders, end users, and technology teams to design, implement, and enhance data and business intelligence platforms. Your responsibilities will span business analysis, ETL and reporting development, user acceptance and regression testing, root cause and impact analysis, defect management and resolution, and day‑to‑day production support. You will also support leadership in coordinating and managing workload activities for the India-based team, including aligning timelines, prioritizing features, and ensuring successful delivery in partnership with business and technology stakeholders.
Job Responsibilities
- Act as a member of the Home Lending CCB FDI team with responsibilities geared towards ensuring data & reporting platform availability, integrity, and completeness.
- Partner with India and US based business stakeholders and product leadership to ensure data and reporting platform feature enhancement and issue resolution priorities meet business needs.
- Assist in defining and documenting new requirements and training / mentoring new hires on subject matter knowledge.
- Expand data and reporting platform scope through enrichment of data from new and existing data sources, development of analytical solutions that measure business performance and automation of manual BAU processes.
- Collaborate with technology staff effectively to carry out agreed upon data and reporting platform changes on time and within SLA.
- Understands the SDLC and quality assurance / quality control concepts, metrics, methodologies, and documentation standards.
- Assure regulatory and policy compliance through a system of effective controls.
Required qualifications, capabilities, and skills
- 5+ years of total experience within MIS, Business Intelligence, and/or Analytics roles
- Must be proficient in SQL query writing. Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or Databricks, Oracle/SQL Server/Teradata, Tableau/Cognos/BO, SAS/R
- Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding
- Self-starter, team player, good communication skills, be proactive in asking help when needed
- Ability to take cues/guidance and solve problems independently
- Strong attention to detail with ability to understand and communicate bigger picture
Preferred qualifications, capabilities, and skills
- Minimum 6 years of experience preferably 2-3 years in financial analysis domain.
- Bachelor’s degree required; concentration in IT, CS, Finance or Business preferred. Experience with LLM/AI solutions would be added advantage
- BI / reporting skills preferably in Tableau or Thought Spot. Experience with migration of BI projects is an added advantage
- AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience.
Highly motivated, self-directed, curious to learn new technologies
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan 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
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