Title: Senior Manager - Services
Duties: Develop big data hypotheses and validate them for marketing, sales, and operations analytics in credit card or insurance sectors. Perform external research and communications with client teams to understand and document business requirements. Responsible for analytics project task management; communications, including deck writing; coordination of all sub-team efforts; delivery of output; facilitation and gathering of client feedback on problem structuring; and effective management of frequency of feedback loop with offshore resources. Utilize Hadoop, Hive, SAS, R, SQL, Excel, CART and other statistical software to carry out analysis. Use Exl analytics methodologies and analysis tools, and SAS to perform data extraction, data understanding, variable reduction, Big Data processing, data analysis, model development, model stabilization, and model validation. Play a crucial role in supporting firm development activities by training, staffing, performing recruitment and business development support. Build, validate, and monitor statistical models and ensure they meet client guidelines. Deliver data analytics presentations to clients, senior executives. Plan, supervise, and direct a team of 5-6 professionals for client project delivery. Will travel to various and unanticipated worksites throughout the United States.
Requirements: Bachelor's degree in Computer Science, Computer Engineering, Electronics Engineering, or closely related field, plus four years of data analytics experience. The four years of data analytics experience must include the following: (1) working with complex data structures and large datasets in a real business setting; (2) data manipulation tools including SAS, SQL, R, Hadoop, and Hive.; (3) marketing and operations analytics in the credit card or insurance sector; (4) utilizing SAS, R, Python, and Hive software; (5) building, stabilizing, validating, and monitoring statistical models and ensuring that they meet the client guidelines; (6) delivering data analytics presentations to clients, senior managers and executives; (7) big data processing, data extraction, and variable reduction; and (8) managing analytics projects with offshore resources.
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