Data Science Lead Analyst

Duties: 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. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Requires a 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. Full span of experience must include: SAS programming language; Unix operating system and scripting; Working within the Banking sector, including Risk and Compliance; and Working within Credit Card Domain; Writing and interpreting project requirements; AutoSys job scheduler; Bitbucket code change control; Working with large scale databases and files; and Software Development Lifecycle (SDLC), including planning, design, analysis, development, testing and deployment. Applicants submit resumes at