JPMorgan Chase—Associate - Data Analytics

Job description

Description: The Data Analytics Associate will join the CIB Global Finance and Business Management organization, assisting with data & management reporting development agenda for regulatory operations. The candidate will learn core business processes, develop metrics/management reporting, and provide decision support via ad hoc reporting and data analytics. The Data Analytics Associate on the team will have the opportunity to work on high-impact initiatives that help drive profitability and efficiency across the Commercial and Investment Banking organization. They will be responsible for assisting the business in ongoing development and maintenance of data analytics, insights, and reporting Job Responsibilities: - Define, monitor, and report key management metrics around the health of an operations program - Manage a high-volume and high-complexity reporting & dashboards book of work, leveraging rigorous project management discipline - Partner with senior leaders in advancing the business analysis and reporting agenda, focused on insights delivery in areas around operational efficiency, cost modeling, capacity planning, quality enhancements, etc. - Define, design, and drive high priority strategic initiatives with senior level visibility in areas above - Develop a deep understanding of systems and processes in order to extract insights from existing data - Develop strong partnerships with business, IT application owners and data management teams to align on a roadmap for continual improvement while providing support around in-flight projects Required qualifications, capabilities and skills - 4 to 7 years of experience, preferably(but not mandatory) in financial services or commercial banking - Hands-on experience with - Must have : Programming languages: SQL, Python - Any Data visualization tool. For ex: Qlik Sense or Tableau. - MS Office - Good to have - Knowledge of Cloud & Distributed file systems, e.g., AWS Redshift, AWS Data bricks, Snowflake - Stakeholder management experience - Prompt engineering for day to day activities - Graduate/Post Graduate preferably with Computer/Finance/Statistics as core areas - Ability to understand business problems/processes and design solutions/methodologies that are rooted in data - Effectively communicate insights/recommendations (verbal and written) with strong ownership skills - Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization) - Team player with a demonstrated strong work ethic. Shift Timing: EMEA (1pm to 10pm) & Location: Bengaluru