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Experience in Stata, Python, R, SQL, SAS, Excel, ArcGIS/ArcPy; Guide programming, model building and/or regression analysis in statistical analysis programs (such as Stata, SAS, R or Python.
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Experience with statistical packages is highly desired, e.g., SPSS, SAS, R, or STATA. Exposure to Big Data and Business Intelligence tools e.g., SQL, Vertica, Hadoop, Hive, Spark, Tableau; with fundamental understanding of data management principles and programming experience.
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Proficient use of SQL, experienced in writing big queries and using data visualization tool: Tableau. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.
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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 statistical packages for analyzing large datasets (e.g. SAS, Excel, SPSS, etc). SQL coding for EDA, data cleaning, and above statistical tests. Experience with data analysis tools such as Tableau, RapidMiner, OpenRefine, KNIME, GSO, NodeXL etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develops and maintains expertise in efficient programming practices in languages and statistical packages, such as SAS, STATA, R, Matlab, SQL, and Python. Specialized experience is defined as experience conducting empirical analysis of consumer financial products or services; writing computer code to conduct the analysis using statistical software packages (e.g., SAS or STATA or similar package); and providing analysis results.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS. Familiarity with database management tools such as: Power BI, SQL, MS Access, IBM Cognos BI.
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SAS, SPSS, Stata, R, and Python. , MS SQL Server, MS Access, MySQL, Oracle), statistical analysis programs (. Description Position at Berkeley Research Group, LLC In the Economics, Damages and Forensic Accounting practice at BRG, we advise and provide our clients with analyses for forensic investigations, accounting, financial and economic analysis in disputes, and valuation of businesses.
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Minimum of 5 years of experience using quantitative software and database querying tools (e.g., SAS, SQL, Python). As the Senior Manager Credit Risk Officer, you will manage the activities of the associated team of Credit Risk Strategy Analyst(s) and act as the Credit Risk Policy & Strategy representative between the department and appropriate lines of business, committees, and other stakeholders.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Must have expertise in SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL. Must have expertise of R programming as well as SAS Base, and good knowledge of SAS graph and SAS Macros.
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Utilization of analytical tools including SQL, SAS, SPSS, and/or open-source including Python and R, or similar. Deep familiarity with HEDIS & CMS care quality measures; experience implementing both HEDIS and CMS measures using SAS and/or SQL.
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Experience with predictive modeling in SAS, Python, R or other. Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Experience with predictive modeling in SAS, Python, R or other.
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Demonstrated ability to leverage Business Intelligence and data visualization tools to deliver business value; examples include, Cognos, SAS, R, Qlik, OracleBI and SQL Server Reporting Services/PowerBI, Micros Strategy, Tableau, etc.
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Perform ad-hoc data analysis using Excel, SAS, SQL (Databricks). Experience with forecasting, modeling, SQL (Databricks experience is a plus) Perform ad-hoc data analysis using Excel, SAS, SQL (Databricks.
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sas sql jobs in Columbia, MD
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