Data Domain Architect Senior Associate

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Domain Architect Associate in the Data & Analytics group within Consumer & Community Banking - Business Banking.

You will develop solutions to obtain and extract large customer datasets that meet business criteria and ensure data integrity through auditing and validation. You will create customer data sample files across lines of business to generate insights for better customer experiences, collaborating with data management, strategy, and analytics teams

Qualifications

• Bachelor's degree required with 6+ years of related experience.
• Proficient with SQL, Python and other analysis tools.
• Experience with Snowflake and Oracle databases.
• Strong written and oral communication skills across management levels.
• Strong analytical skills with attention to detail and accuracy.

Responsibilities

• Leverage SQL, Snowflake, Python to describe and interpret complex data sets.
• Identify customer interactions and events across channels to target survey invitations.
• Wrangle, prepare, and validate data from multiple sources for file creation.
• Independently deliver recurring data files per client SLAs.
• Aid in presentations delivering code logic and data sourcing details.
• Collaborate with data management, strategy, and analytics teams across functions.
• Document processes and capture workflows.
• Summarize coding logic and data sourcing in presentations.

Skills

Analytical thinking

Communication skills

Problem solving

Education

Bachelor's degree in Operations Research or Market Research

Tools

SQL

Python

Snowflake

Oracle

Job description

We have an exciting opportunity for you to enhance your career in Data & Analytics, contributing to innovative banking solutions.

As a Data Domain Architect Associate within Consumer & Community Banking - Business Banking division, You will be responsible for working collaboratively to develop solutions to obtain and extract large customer data sets which meet business inclusion and exclusion criteria. You will ensure integrity of process by creating samples which are representative of the entire customer base, through extensive auditing and validation.Through the application of highly technical skills, you will create customer data sample files across all lines of business which are used to generate insights to better our customer’s experiences.

Job responsibilities

• Leverage a variety ofanalytical and statisticalapplications (SQL, Snowflake,Python etc.) to describe, analyze, and interpret complex data sets.
• Identify customer interactions and events across a variety of channels(calls, branch, online, emails etc.)to target customers for survey invitations.
• Wrangle, prepare and validate data from multiple diverse data sources in preparation for file creation.
• Independently deliver recurring data files in accordance with client SLAs.
• Facilitate requirement definitions, design, testing, and code implementation for survey data to measure customer satisfaction.
• Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional teams.
• Construct process documentation and workflow capture.
• Aid in presentations summarizing code logic and data sourcing.

Required qualifications, capabilities, and skills

• Bachelor's degree required in Operations Research, Market Research, or a related field with 6+ years of related experience
• Proficient with SQL, Python and other analysis tools.
• Experience using common relational database systems; i.e., Snowflake, SQL and Oracle database
• Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Preferred qualifications, capabilities, and skills

• AWS, Databricks or other Cloud Data Warehouse experience