The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust analytic data solutions that meet and/or exceed customer expectations. The ideal candidate will possess data analysis skills, data visualization skills, an understanding of data science, and a commitment to producing high quality results.
Customer Data Analytics & Engineering Analysts within the CCB Customer Data Products organization are responsible for extracting value and delivering on our strategic goals through the use of data analytics and visualization. Key responsibilities include:
Leverage big data assets to develop insights and quantify opportunities in line with our strategic initiatives
Extract and quantify data-informed insights to help define opportunities and shape strategic Customer Data Domain initiatives (Enhance Customer Identity Mgmt, Deliver One Chase Experiences, etc...)
Perform advanced root cause analysis to better understand complex issues and anomalies and identify viable data-informed solutions to remediate data quality issues
Ensure availability of high quality and usable customer-level data and insights
The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and design and develop robust analytic data solutions that meet and/or exceed customer expectations. The ideal candidate will possess data analysis skills, data visualization skills, an understanding of data science, and a commitment to producing high quality results.
Other responsibilities will include the following:
Facilitate use case & requirements definition, design, testing, and implementation of new data assets and analytic capabilities that address specific business needs
Profile, wrangle, and prepare data from diverse sources to support analytical efforts
Conduct business process analysis and identify data needed to support the processes and determine whether the firm's data is fit for use within a given process
Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm
Educational Requirement
The candidate must have an educational background in Data Analytics, Computer Science, MIS, Statistics, Mathematics, or a related discipline. In addition, the candidate must have a minimum of a Bachelor's degree with 5 years of experience or a Master's degree with 3 years of experience.
Required Skills
4 years of experience as a key participant on data analysis and data engineering related efforts
Excellent command of the SQL language
Experience working with big data sets using Hadoop-related technologies & their applications
Ability to produce data visualization deliverables geared towards an executive-level audience
Advanced analytical thinking and problem solving
Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle
Preferred Skills
Strong knowledge of Python
In-depth knowledge of consumer and wholesale banking data
Knowledge of the consumer lending lifecycle, including loan origination, sale/servicing, default management/loss mitigation
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
