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Here's what you need: Workday Partner Certification Minimum of 3 years of consulting experience, most recently in a Lead or similar level role Minimum of 3 years of hands on Workday Data conversion experience Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience Bachelor's degree or equivalent (minimum 12 years work experience.
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Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc.
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Experience using software (SAS, SQL, R, Python) Experience using software (SAS, SQL, R, Python) A well-established P&C company is looking for an individual to join their team as a Senior Actuarial Analyst Pricing.
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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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The successful candidate will write new, modify, and support SAS code (base, macro, SQL) that runs in the SAS Viya environment. Proven working experience as a SAS Developer or similar position.
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Tableau, SAS, Teradata or Snowflake strongly preferred. Position Title:Senior Tableau Developer / SQL. Senior Tableau Developer / SQL. Tableau, SAS, Teradata or Snowflake strongly preferred.
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Strong proficiency in SQL and experience with statistical software (e.g., R, SAS). Position Summary: Seeking a highly analytical and skilled Economic Analyst with a strong background in healthcare and proficiency in SQL. The ideal candidate will be responsible for analyzing economic trends, healthcare costs, and financial data to provide actionable insights that support strategic decision-making.
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Senior Actuarial Analyst - Pricing. Remote / Chicago preferred / White Plains, NY / Boston, MA /San Diego, CA / Scottsdale, AZ / Warren, NJ / New York, NY. The responsibilities of this position includes preparing rate filings, creating presentations about strategic initiatives to share with other departments, and supporting regulatory & internal reporting.
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Perform campaign selection from various enterprise databases via Oracle and SQL Server leveraging SQL, SAS, PowerBI, and Tableau. A minimum of 2 years of SAS Enterprise Guide programming is preferred but not required.
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Knowledge and/or prior experience with Python, SQL, SAS and/or Tableau preferable. Utilize SQL and other query tools to analyze large quantities of data, from multiple complex internal and external sources to glean understanding, derive actionable insights into organizational performance and the external environment, and measure progress toward strategic initiatives.
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Proven software skills in SAS, R. Python, Visual Basic and SQL. Proven software skills in SAS, R. Python, Visual Basic and SQL. Bachelors degree in actuarial science, mathematics, economics, statistics, data science or finance preferred.
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Proficiency to manipulate data (Python, R, SQL, SAS) Proficiency to manipulate data (Python, R, SQL, SAS) CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights.
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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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Strong knowledge and proficiency in SAS or SQL programming language for statistical analysis and other software for the development of business intelligence and data analytical tools and reports (e.g., SAS, MSSMS, Power BI, Tableau, etc.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. Proficiency in Excel and SQL. Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
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