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Details Kemper is seeking a SAS Administrator/Engineer for our Data Science Services team. Maintain user provisioning in SAS Management ConsoleCollaborate with the network, security, and server administration teams to implement Kemper data and security standards, including but not limited to firewall rules modification, server whitelisting, data masking, and row level security.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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The candidate is responsible for programming in numerous data processing steps (cleaning, extracting, merging, etc) in SAS/SQL/R/Python programing environments. Minimum 5+ years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry.
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7 or more years of relevant experience in AML / BSA regulatory compliance, data analytics, data validation, risk management Experience working with KYC and AML dataStrong experience in data research using SQL/SAS/R/Python for data analysisThe successful candidate must demonstrate a relentless drive and demonstrable ability to achieve high quality results in a creative fashion while working independently.
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Professional experience manipulating healthcare claims datasets with SAS, SQL, STATA, or SPSS. You will not be considered without this requirement. At least 7 years of professional experience with at least 5 of which working in SAS, SQL, or other relevant programming experience.
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Curtiss-Wright Steam & Air Solutions (SAS), a business unit of Curtiss-Wright, designs, manufactures, tests and provides - Navy steam turbines and steam valves, nuclear steam turbines, and aftermarket steam parts, upgrades, and overhauls.
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We are looking for an associate with at least 5+ years of experience for Sr Statistical programming position, having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards.
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Experience with business intelligence and data mining tools such as BusinessObjects, MicroStrategy, Tableau, QlikView, Power BI, Hadoop, SAS Enterprise Guide/Miner. Huntington systems and data knowledge; examples include Actimize CTR/ECM/KYC, SAS AML, FDR, and Enterprise Data Warehouse.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Web development experience with React, Vue.js, Angular, or other technologies. Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority. Integration: Databricks, Talend, SSIS, Pentaho, Informatica or similar. Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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sas job Title: analyst Company: Genesis Research
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