Data Science Lead Analyst Job at Citi (Schaumburg)

Job Description

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location.

Code, test and execute requirements for simple-to-complex Retail Services Partner Delivery data processing programs
Design and construct new data processes using Base SAS, SAS Macros, Advanced SAS, Autosys Job scheduler, Service Now, Bitbucket, SQL, and Unix shell scripts
Modify existing data processes according to new business requirements
Identify and segment Retail Services reporting populations across data sources
Perform functionality testing and generate validation reports for data processes
Validate data from multiple sources to reconcile variances in the attributes and to ensure accurate data is consumed by data processes
Prepare, review, and execute test cases to ensure data processes create accurate results and run as expected
Work with stakeholders to define reporting requirements and iterate with business users to ensure output matches expectations
Consult on data processing solutions and create automated solutions to streamline report and process execution
Prepare data flow charts and process flow diagrams to illustrate transformations and rules to describe logical operations
Ensure support of ongoing activities

Master’s degree or foreign equivalent in Engineering (any), Information Systems, Embedded Systems, Data Science, Computer Science or related field and 4 years of experience as a Developer, Data Analyst, Business Analyst, Business Relationship Manager, Systems Analyst, Software Engineer or related position
Alternatively, employer will accept a Bachelor’s degree in the stated fields and 6 years of the specified progressive, post-baccalaureate experience
SAS programming language
Unix operating system and scripting
Working within the Banking sector, including Risk and Compliance
Working within Credit Card Domain
Writing and interpreting project requirements
AutoSys job scheduler
Bitbucket code change control
Working with large scale databases and files
Software Development Lifecycle (SDLC), including planning, design, analysis, development, testing and deployment

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays