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And data visualization tools such as Tableau- 3+ years of experience writing SQL queries and creating business intelligence reports. These efforts will improve the ways in which we service our sellers and improve the business performance for SAS. The Business Analyst will also focus on streamlining finance reports, owning shadow P&Ls queries and perform ad-hoc business decision support analysis.
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Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)Big data processing techniques, preferredRetail, customer loyalty, and eCommerce experience, preferred As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
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Some knowledge of SAS, SQL, or R. Medicare Advantage, especially bid development and understanding of revenue mechanisms (e.g., risk scores, star ratings) Family building benefits, including adoption and fertility assistance and paid parental leave up to 12 weeks for employees who have worked for Milliman for at least 12 months and have worked at least 1,250 hours in the preceding 12-month period.
$231,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPreferred qualification - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) AWS Global Services Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements.
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Expert skills in Excel, PowerPoint, and data software packages (e.g., SAS, Snowflake). High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL.
$246,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in standard statistical analysis (e.g., descriptives, t-test, ANOVA, modeling, logistic regression) and programming languages (such as SAS, R/Stata, Python, SQL/Hive) Proficiency with SQL.
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Complete understanding and demonstrated experience of Python, R/SAS, SQL, Visualization tools like Power BI/Tableau and various modeling techniques. Complete understanding and demonstrated experience of Python, R/SAS, SQL, Visualization tools like Power BI/Tableau and various modeling techniques.
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SQL Fluent with SQL, Tableau, other analytical solutions like SAS, SPSS. (Required) SQL Fluent with SQL, Tableau, other analytical solutions like SAS, SPSS. (Required) As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities.
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Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience. Minimum of 3 years of US and/or Global Data Operations + ETL including Informatica, SAS, Clover or Pentaho, XML, & MYSQL/SQL experience.
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Experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
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R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning. ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.
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Possess ability to extract and manipulate data in relational databases, SAS, SQL, R or Python preferred. ACAS or FCAS designation preferred but not required. WHAT WE ARE SEEKING We have assignments available to help our insurance carrier clients in Actuarial Analyst positions.
Full-time/part-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid computer and analytical skills including experience in computer programming and using statistical software packages such as R, Python, Eviews, MATLAB, S-PLUS, SAS, STATA, or others. Prepare ad-hoc program reports regarding City Light's peak load, generation and hydro and temperature data using Excel, SQL Developer, etc.
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U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
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sas sql jobs in Seattle, WA
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