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Works with information from a variety of sources, using a variety of highly specific tool such as, but not limited to, SAS, R, SPSS, Stata, SQL or Tableau, and Power BI. Experience conducting statistical analyses and data mining using tools, such as SPSS, SAS, Stata, or Minitab.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Principal Data Scientist.
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Advanced SAS and SQL knowledge (needed), R, Python, QRM (optional) They typically support multiple bank functions including underwriting, loss forecasting - including stress testing (HCR/DFAST) and reserve calculation (CECL/IFRS), portfolio management, and balance sheet management.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data.
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Strong technology skills, including advanced Excel skills and considerable experience with data extraction, data visualization, and statistical analysis software such as Argos, Tableau, Power BI, SQL, SPSS, and/or SAS. Experience in programming in SQL and/or collaborating with programmers to develop scripts to meet various mandated and ad hoc reporting needs.
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SQL, SAS, R, Python, Tableau Or Other Related Experience. Minimum four (4) years’ experience in the application of business analysis or data management and analysis tools including but not limited to, SAS, SQL, AQT, Tableau, and PowerBI required.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Proficient in project software such as SAS/SQL, Python/PySpark, Snowflake, R, Databricks CMS cloud environments. Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Design and maintain internally-used mainframe tools (e.g., zSecure, CARLa, ETF/R, various REXX Execs, EasyTrieve programs, some number of Cobol programs, SAS programs, SQL inquiries via SPUFI.
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The role requires expertise in programming (SAS, R, Python, SQL, or STATA) and quantitative analysis. 3+ years of experience in programming (SAS, R, Python, SQL, or STATA.
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NorCal (Napa, Sonoma) Master's Degree MA/MS degree in Healthcare, Engineering, Mathematics, Statistics, Epidemiology, Business, Data Science, Computer Science, or related field. Southern California, NorCal (Humboldt.
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5 years' experience with SQL (writing complex queries), MS Excel, Tableau, Looker, and Qlik Sense dashboard development, or other data analytics and visualization tools. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Knowledge of Data Science & programming such as Python, R, SQL, SAS, Java, Experience with Data Warehouse and ETL solutions such as SQL Server, Snowflake, Azure, Databricks, Informatica, or similar.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, SAS, R, Python, SQL, Java, and. ● Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
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