- Bachelor's Degree
- Master's Degree
Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.4 trillion and operations worldwide. Chase serves nearly half of America’s households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to Chase.com.
CCB Data & Analytics:
The CCB Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The team encompasses a variety of Data & Analytics disciplines, from data governance and data strategy/partnerships to reporting, data science and machine learning, and are actively engaged in ensuring impact at the front-line and the customer through Sales and Marketing transformation. We have a strong partnership with our dedicated Technology partners, who provide us with our cutting edge data and analytics infrastructure. Joining CCB Data & Analytics means you sit in the engine that powers Chase with insights, providing an opportunity to materially impact both our customer and business outcomes. The team also offers significant learning and mobility opportunities for career development and future growth.
Business Process Analysts within the CCB Data Infrastructure focus on Data Management and supporting our Decision Science and Analytics Partners. They work with agile development teams, supporting migration of legacy processes and data from Business Analysts and Data Science Teams to Technology Supported Platforms and Operations. They need to be the bridge between Data Scientists and Technology Production and Operations, taking data and processes from current state to target state.
The Small Business and Consumer Banking Data Domains are responsible for driving critical cross-functional projects in support of designing, building, and implementing customer-centric data assets for use across the firm. The candidate must exhibit a strong understanding of data structures, data manipulation, metadata, data security, and data quality management. In addition, the candidate must have a solid understanding of CCB businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of customer data.
As a Analyst, you will work as a consultative team member in defining current and target state analytical requirements. The candidate must have the ability to partner with stakeholders inside and outside of the department to understand their needs and support the design and development of robust data solutions that meet and/or exceed customer expectations. The ideal candidate will possess JPM Chase institutional data and system knowledge, technical skills, an understanding of data science, and a commitment to producing high quality results. Experience with leading teams delivering solutions through agile methodology and collaborating on backlog grooming and prioritization will be a strong plus.
Candidates with training and Certification in Business Process Management and Requirements Analysis will be preferred.
Other responsibilities will include the following:
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
Facilitate use case & requirements definition, design, testing, and implementation of new data assets and analytic capabilities that address specific business needs
Validate that conceptual & logical models for a particular domain of data support target state business requirements
Write and produce technical documentation to translate business needs to technical team agile stories
Work with analyst community to define test cases for UAT and capture testing metrics for review with project teams
Being meticulous about tracking delivery status and following through on open items
Identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms
Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and administer firm-wide principles, standards, and controls
Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm
The candidate must have an educational background in Computer Science, MIS, Software Engineering, or a related training. In addition, the candidate must have a minimum of a Bachelor’s degree with 5 years of experience or a Master’s degree with 2 years of experience or 10 years of experience in a similar role and function.
Minimum five years of Applications Data Analyst experience – technology implementation experience and certifications a plus
3+ years working with technical teams operating Hadoop big data environments using MapReduce, Hive, SparkSQL, Sqoop, HDFS, and Spark
Write data transformation logic in languages such as SQL, Python, SAS, Spark, or Scala
Coding skills to profile, wrangle, and prepare data from diverse sources to support analytical efforts
Translate transformation logic to business requirements in JIRA stories and epics
Being meticulous about tracking requirements and follow-through with business SMEs and technical implementation teams
BI Experience a must (Tableau, Cognos, Qlik, BO, SSAS)
Experience in using Big Data or Cloud based Consumption OLAP tools (AtScale, Kyvos or other OLAP on Hadoop, Snowflake) preferred
Familiarity with data warehousing concepts, especially OLAP. Familiarity with semantic layers and dimensional models.
Familiarity with various data modeling techniques and tools with knowledge of the SQL language
Ability to review conceptual & logical models for particular data domains and assess fit to meet requirements
Knowledge of version control tools and processes (e.g. Subversion, Git)
Technical understanding of common RDBMS systems; (e.g. Teradata, Oracle)
Understanding of Hadoop-related technologies & their applications
Must have ability to deliver high-quality results under tight deadlines and be comfortable managing mid to large projects
BPMN (Business Process Management Notation) training and certification is a preferred skill
Strong skills in project management methodologies and tools – Agile Training and certification a plus
Advanced analytical thinking and problem solving skills and experience in the Consumer Banking Domain
Proven experience with data infrastructure initiatives, best practices and key components
Knowledge of the Consumer deposit product lifecycles
Knowledge of business and wholesale banking data
Please note: We do not offer employment based sponsorship for this role. If you require employment based sponsorship either now or in the future (i.e.: you are currently authorized to work pursuant to a student visa (OPT) but will require employer based sponsorship to continue working past its expiration), you are not eligible for this role.