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Minimum 5 years of experience with SAS or SQL, or other data management, reporting and query tools (Sharepoint, SAP, Business Objects, Tableau, Crystal reports/Dashboard, etc) Attend meetings with various data governance groups and Subject Matter Experts (SME) from RBC and Enterprise Risk Management (ERM.
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Extensive knowledge in SAS including SAS Base, SAS Macro, SAS SQL, SAS ACCESS, SAS ODS, System Management Console and other relevant components of SAS as applicable and experience in PySpark and Python development.
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Experience with analytical or data management tools (e.g., SAS, SQL, VBA, Advanced Excel) This role requires an individual with several years of credit risk management experience, strong statistical and data analysis skills, technical SAS skills, an ability to derive analytical solutions based on business knowledge and objective judgment of the balance between risk and reward.
$110,890 - $166,340 a yearExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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At-least mid-level proficiency and hands-on SQL skills (and/or R, SAS, Python) with ability to self-serve on constructing data joins, data aggregation and manipulation, and building segmentation.
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Previous experience in statistical and data analysis with working knowledge of at least one of the following statistical software packages: SAS/SQL (required) SPSS, or equivalent; SAS Enterprise Miner experience is a plus.
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5+ years of hands-on experience in working with analytics and programming softwares (e.g., SAS, R, Julia, or Python) and familiarity with database systems (e.g., SQL, NoSQL, graph). A quantitative master’s or Ph. D. degree from an accredited college or university in one of the following fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.
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Develop and apply mathematical or statistical theory using analytic tools (SAS, SQL etc.) SAS, SQL, and statistical analysis experience. Develop and apply mathematical or statistical theory using analytic tools (SAS, SQL etc.
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Master’s degree in Industrial Engineering, Economics, Business Administration, Statistics, Mathematical Finance, or Finance plus 3 years of experience conducting statistical analysis of consumer credit card portfolio and credit bureau data through advanced SQL/SAS queries is required.
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Knowledge and understanding of Essbase, Hyperion Planning, SAS, SQL experience a plus. Knowledge and understanding of Essbase, Hyperion Planning, SAS, SQL experience a plus. As a Barclays Corporate Planning and Report Analyst, you'll be responsible for reporting to the Director, CFO Business Partner, Planning & Analysis, and will assist the entire team in reporting, data analysis, and financial modeling through the forecasting cycles (monthly, quarterly, and annually.
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Familiar with Unix,.net framework, SAS, SAP R3, Documentum and Business Objects would be beneficial. Experience extracting data from MS SQL server, Oracle and Documentum. Ability to write SQL/DQL queries and coordinate creation of queries with other technical resources.
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Experience in SQL, SAS, Teradata, and relational databases is highly desired. Requires BS/BA degree in Mathematics, Statistics, or related field and a minimum of 3 years of experience in broad-based analytical, managed care payor or provider environment as well as experience in statistical analysis and healthcare modeling; or any combination of education and experience which would provide an equivalent background.
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Proficient with Large Data Tool capabilities including, but not limited to, SAS, Python, SQL, visual basic, Power bi, python & aster for natural language processing/machine learning, and other reporting and analysis tools.
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The PNC Financial Services Group, Inc. seeks a Portfolio Analytics & Strategy Specialist in Wilmington, DE to participate in the Decision Science Marketing Analytics team supporting strategy initiatives and execution.
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Skills Required: Requires experience in the following: Alteryx; Tableau; SQL; SAS; leveraging complex data structures; designing automated reporting solutions; developing and maintaining process controls to address risk; and creating executive level key performance indicator reporting.
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Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python) Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python.
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