Data Science Lead Analyst

Citi • Schaumburg, IL

1d • $157,500 - $163,300 • Hybrid

About The Position

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties include coding, testing, and executing requirements for data processing programs, designing and constructing new data processes, and modifying existing ones. The role involves identifying and segmenting reporting populations, performing functionality testing, validating data from multiple sources, and preparing test cases. Collaboration with stakeholders to define reporting requirements and ensure output meets expectations is key. The position also requires consulting on data processing solutions, creating automated solutions, preparing data flow charts, and ensuring support of ongoing activities. A telecommuting/hybrid work schedule may be permitted.

Requirements

• 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, a Bachelor’s degree in the stated fields and 6 years of 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior