Data Domain Architect Senior Associate

JPMorgan Chase & Co.

Mumbai

On-site

INR 2,000,000 - 3,200,000

Full time

6 days ago
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Job summary

JPMorgan Chase & Co. in Mumbai seeks a Data Domain Architect Associate to advance data-driven banking solutions.

You will develop methods to obtain and extract large customer data sets while ensuring sample integrity and auditability. You will collaborate with data management, strategy, and analytics teams to drive end-to-end data preparation, validation, and delivery for insights that improve customer experiences.

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; able to engage with senior stakeholders.
  • Strong analytical skills with attention to detail and accuracy.

Responsibilities

  • Leverage analytical and statistical applications (SQL, Snowflake, Python) to describe, analyze, and interpret complex data sets.
  • Identify customer interactions across channels to target surveys.
  • Wrangle, prepare and validate data from multiple sources for file creation.
  • Deliver recurring data files in accordance with client SLAs.
  • Facilitate requirement definitions, design, testing, and code for survey data to measure customer satisfaction.
  • Collaborate with data management, strategy, and analytics teams across functions.
  • Construct process documentation and workflow capture.
  • Aid in presentations summarizing code logic and data sourcing.

Skills

SQL
Python
Snowflake
Oracle

Education

Bachelor's degree in related field

Tools

AWS
Databricks
Snowflake

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
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