JPMorgan Business Analysis Associate II 

India 

497567022

Job Responsibilities

• Support day-to-day analytics and project management activities related to data and technology initiatives.
• Maintain and enhance the team’s data infrastructure, including exploration and automation of data ETL pipelines.
• Assist in the design and optimization of analytical processes, from data sourcing to stakeholder consumption.
• Collaborate with cross-functional teams to define key metrics, data points, and other needs for reporting and analytics.
• Own and support the development and maintenance of internal and stakeholder dashboards and reports.
• Participate in user acceptance testing (UAT) for system deployments and manage change documentation.
• Prepare and present updates to leadership and stakeholders on data and technology deliveries.
• Develop a deep understanding of Commercial Banking fraud trends, patterns, and features.
• Drive optimal documentation and governance of applications and systems within the team.
• Manage and mentor junior analysts, providing guidance and support for their professional development.
• Foster a collaborative team environment and facilitate effective communication within the team.

Required qualifications, capabilities, and skills

• Bachelor's degree in Mathematics, Statistics, Computer Science, or a related technical discipline.
• 3+ years of experience in a data, analytics, or technology-related role.
• Strong proficiency with Microsoft Excel, PowerPoint, Access, Visio, and Word.
• Experience in data mining using SQL, Python, or Alteryx.
• Experience with data visualization tools like Tableau for creating insightful reports.
• Ability to support and manage complex technology-focused initiatives.
• Self-motivated with a strong drive to deliver accurate results and critically think through solutions.
• Strong interpersonal skills with the ability to work collaboratively across teams.
• Understanding of data warehousing concepts, including ETL and relational databases.
• Experience with cloud infrastructure such as AWS or GCP.
• Ability to develop and maintain internal and stakeholder dashboards and reports.

Preferred qualifications, capabilities, and skills

• Familiarity with artificial intelligence (Machine Learning and Large Language Models)
• Experience working with big data technologies such as Hadoop or S3.
• Proficiency in cloud infrastructure management, particularly AWS or GCP.
• Background in fraud prevention or financial services is a plus.
• Strong problem-solving skills with the ability to adapt quickly to changing priorities.
• Demonstrated ability to develop strong partnerships across multiple levels of an organization.