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Using tools like SAS, SQL, Microsoft Excel, Essbase to access and analyze large amounts of data (may also use other tools such as Snowflake, PowerBI, Python, etc.) Proficiency in data science and coding (SAS, Python, SQL, etc.
$89,000 - $132,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Programming skills (e.g., JMP Scripting Language, SQL, Visual Basic, R, Python) Minimum of two years' experience with one or more statistical software packages (SAS or R, and JMP or Minitab are a plus.
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Expert level proficiency with SQL, SAS, python and knowledge/experience with Power BI or a similar report writer. Expert level proficiency with SQL, SAS, python and knowledge/experience with Power BI or a similar report writer.
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Experience with SAS, SPSS, Python, and/or other data mining tools. Design, document, develop and roll out financial, clinical and utilization analyses using a variety of computing tools (e.g., SQL, Excel.
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And summarize the data to recommend action using a variety of tools such as SQL, Python, R, SAS, or SSIS packages/jobs. 3+ years of experience in SAS, SQL, Python, or other statistical and database software.
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2+ years working with large data sets and Hands on programming skills (SAS/SQL/R/Python etc.) We are looking for a candidate who is curious and passionate about developing innovative solutions and has experience in big data environments, computer programming, Hadoop, Spark, Python, etc.
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Proficient in SQL, Tableau, Power BI, SAS, and Python. Python (2 years of experience is preferred) Proficient in SQL, Tableau, Power BI, SAS, and Python. Bachelor's degree in Healthcare Administration, Business Administration, Statistics, Mathematics, or related field of study.
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Proficiency to manipulate data (Python, R, SQL, SAS) Candidates will be given special consideration for extensive experience with Python. Proficiency to manipulate data (Python, R, SQL, SAS.
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Must haves: SQL, SAS, Python, Tableau, feel comfortable presenting. Key technologies: BHI Whyzen software- quickly followed by SAS, SQL, power bi, tableau, Alteryx.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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5+ years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software. Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint.
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Strong analytical skills, with experience using statistical modeling and data analysis software (such as SAS, R, or Python) Proficiency in SQL and experience with data visualization tools (such as Tableau, Power BI, or QlikView.
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Experience querying, summarizing, and manipulating data using SQL, SAS, Python, R, Machine Learning, Cognos or PowerBI. Among government agencies, AHCCCS is recognized for high employee engagement and satisfaction, supportive leadership, and flexible work environments, including remote work opportunities.
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Experience with a variety of Business Intelligence tools (SQL, Python, Snowflake and SAS) Utilize Business Intelligence Platforms such as Qlik and\or MicroStrategy to support data visualization, analytics, and Information Delivery needs.
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Strong knowledge of Excel and at least one programming language or modeling software package (Python, SQL, R, SAS, etc.) As a dedicated Actuarial Analyst Senior, you will coordinate, prepare and perform actuarial analyses required to develop new products, project future results, reprice existing products, and/or determine financial strength.
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