
Search by job, company or skills

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer & Community Banking. Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes and control, and lead the organization in developing skills of the future.
Our overall product objectives include:
1) Constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer & Community Banking in a consistent framework.
2) Creating an ecosystem of dashboards, sourced from authoritative data sources, to replace all manual management reporting and to allow our employees to focus on generating actionable insights.
3) Eliminating user tools, saving time, and increasing the ability to generate insights through data, dashboards, and developing new capabilities.
As a Data Domain Architect within the Consumer & Community Banking Finance area, you will play a key role in transforming how Financial, Operational, and Behavioral data is reported and analyzed across Consumer Banking and Business Banking within Consumer & Community Banking. You will be responsible for discovering, sourcing, designing, and delivering data domains into a Databricks-powered data mart that consolidates critical data categories to support Finance's analytical and reporting needs. In this role, you will work closely with Finance stakeholders to understand their requirements and ensure data is well-structured, discoverable, and readily available for both analytical and reporting purposes.
Job Responsibilities :
.Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support CCB Reporting and analytical needs.
.Develop detailed Data Requirement documentation that aligns with overall data strategies and models.
.Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes.
.Perform thorough integration and regression testing of data components, providing evidence to ensure compliance and control measures are in place.
.Proactively identify and resolve issues/challenges, highlighting potential risks to leadership.
.Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements and expectations.
.Serve as a subject matter expert in these areas, providing support and guidance to other team members as needed.
Required qualifications, capabilities and skills:
JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase
Job ID: 148816591
Skills:
data engineering , thoughtspot , snowflake , Unix, Alteryx, Hadoop, SAS, Data Warehousing, Tableau, Sql, Nosql, Data Science, Linux, Spark, Data Governance, Databricks, ETL techniques, business intelligence, R
Skills:
Ml, Matplotlib, Numpy, Alteryx, Pandas, Tableau, Seaborn, Sql, Python, Scikit-learn, Ai
We don’t charge any money for job offers