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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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Bachelor's Degree or equivalent Minimum 6 years of experience working in a data analysis role 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) Minimum 3 years of experience in banking/operations Skills and Knowledge Excellent interpersonal, verbal, and written communication skills.
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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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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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Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or DataBricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc.
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Clinical data programming experience is a big plus (SAS, SQL, R, Python, JREview, Spotfire) Build capabilities and a book of business in Biometrics services (e.g. CDR, SCE, MDR, biostats, data management etc.
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Proficiency in writing SAS codes with macro, or proficiency in other data management tools, such as R, SQL or Python (can be trained to use SAS quickly). The VP, Credit Portfolio Risk Analytics- Hybrid is a senior-level position responsible for managing a write-down process which are a series of SAS programs, leveraging data analytics and working with internal partners to provide oversight of the process.
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Develop and maintain innovative reports, dashboards, and processes using SAS, SQL, and Tableau. 3+ years of experience in data analysis and reporting, demonstrating advanced proficiency using SAS EG/SQL query language to access Teradata / SQL Server / Hadoop databases.
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Experience with SQL and statistical software packages (Python, R, SAS) required. Experience with SQL and statistical software packages (Python, R, SAS) required. The Data Scientist will apply statistical theory and methods to collect, interpret, and summarize data, as well as make predictions and recommendations based on complex data sets including solutions for process improvement and new product 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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Experience with coding such as VBA, SQL, and/or other (e.g., SAS). Requires a BA/BS in Finance or related field and a minimum of 3 years of experience with Pharmacy Benefits Manager (PBM), data analysis; or any combination of education and experience, which would provide an equivalent background.
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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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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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Advanced knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python) Advanced knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python) Our Commitment to Diversity, Equity, and Inclusion.
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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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sas sql jobs in Wilmington, DE
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