About JPMorgan Chase & Co. :
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Working experience as a data architectTechnical expertise in creating Dimensional Data Models and database design
Experienced in ELT/ETL processes, reconciliations, data pipelines creation and implementation
Extensive SQL experience and ELT tooling experience like DBT or similar.Intermediate level experience of Python
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Experience with relational & non-relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
Knowledge of modern MPP databases and big-data (Hadoop) concepts
Knowledge / strong interest in developing expertise with various cloud concepts e.g. object storage, publish-subscribe data patterns
Experience in agile reporting development and ability to interpret unstructured data and draw objective inferences given known limitations of the data
Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
Ability to define and track project deliveries through to implementation
Proactive/self-starter with the ability to deliver value-added support to business partners in a dependable, timely and accurate manner.
Provide analytical support using SQL to measure KPIs or perform ad-hoc data exploration for business LoBs
Gain familiarity with a variety of data sources including both event-stream data and tabular, relational data
Help the LOB stakeholders innovate through data-driven decisioning by querying data and merging information from diverse data sources to create rich datasets that enable better decision-making
Create a consolidated data model merging the various data sources ingested by the platform. This will involve creating a dimensional model.Work with other Analytics teams and multi-task on projects to summarize and synthesize data in a clear and logical manner Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
Support ongoing technology evaluation process and proof of concept projects
Create cloud-based applications to facilitate various aspects of data management (e.g. reference data management, master data management, data lineage).
Ability to focus on promptly addressing customer needs
Ability to work within a diverse and inclusive team
Technically curious, self-motivated, versatile and solution oriented