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JP Morgan is Hiring Data Analyst || Job in Bangalore || Apply Now

Company: JP Morgan

Role: Data Analyst

Location: Bangalore, Mumbai

Salary: 7.5 LPA to 10.5 LPA 

Qualifications:  Bachelor's/Master's Degree

About organization:

J.P. Morgan is a renowned American multinational financial services firm, dating back to the 19th century. Established by J. Pierpont Morgan, it has become a global banking giant. The company offers a wide range of financial services, including investment banking, asset management, and commercial banking. With a rich history of mergers and acquisitions, it has played a pivotal role in shaping the modern financial landscape. J.P. Morgan is recognized for its expertise in capital markets, serving corporations, governments, and individuals worldwide, making it a prominent name in the world of finance and banking.

Job Responsibilities:

Will own and support marketing analytics for card product/s to solve business problems and enable business growth. A key area of analytical exercise is to evaluate the effectiveness of marketing campaigns and perform P&L evaluation

Candidate has to have advanced working knowledge of tools like SAS,

 Python, and SQL to perform data engineering. Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.

Perform advanced analytics to develop customer segmentation leveraging modeling tools to develop a framework for differentiated offering strategies to drive marketing efficiencies. 

Interact regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer-focused analysis and performance to realize growth opportunities.

Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis.

Required Qualifications, Skills and Capabilities:

BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance). 

Expert in SAS/SQL. Proficiency with programming languages such as R/Python 

Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)

Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems

Strong oral and written communication skills

Understanding of credit card P&L is preferred

1-3.5 Years of experience

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