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Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology). Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
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Knowledge of SQL and VBA.Familiarity with R or Python for predictive modeling. Basic understanding of SQL, Javascript, XML, JSON, and HTML.Ability to learn new methods quickly and work under deadlines.
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Experience with relational database program(s) (e.g., MS SQL Server, MS Access, MySQL, Oracle, Teradata) or statistical analysis programs (e.g., SAS, SPSS, Stata, R, Python) is preferred.
$35 an hourFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired.
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MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, Snowflake or Teradata) is desirable but not required. Use software such as SQL, R, Stata, SAS, Python, or Snowflake.
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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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Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or Databricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R.
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Ability to propose strategies to react to a changing marketplace Preferred experience of SAP, Allegro, Ascend, Tableau, Power BI & GE-MAPS Preferred experience in database programming and querying using SQL, MS Access, VBA, SAS, Oracle or other.
$134,360 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL.Pay Range: $67,400.00 - $121,300.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules.
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Experience with Data manipulation and analytical software (SAS, SQL, Python, Netezza, Oracle, Tableau, PowerBI, Etc.) Experience with Data manipulation and analytical software (SAS, SQL, Python, Netezza, Oracle, Tableau, PowerBI, Etc.
$217,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in SQL query writing. Cloud data warehouse experience, e.g. AWS, Databricks, Snowflake. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing.
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Candidate must also possess: Demonstrated Expertise ("DE") working with relational databases and data architecture, including Snowflake, SQL Server, Oracle, or MS Access databases. DE conducting statistical analysis using Python, R or SAS. DE visualizing data insights via ThinkCell, Tableau, PowerBl, or Looker.
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SQL, Tableau, Cognos, Qlik. Ability to use reporting software such as Actuate, Cognos, Crystal reports, SAS, or other. Requires strong expertise in MS Excel and relational database such as MS Access and other database management (MS SQL) and reporting tools.
$113,145 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge of SQL and VBA. Basic understanding of SQL, Javascript, XML, JSON, and HTML. Basic experience in computational finance, econometrics, statistics, and math. Familiarity with R or Python for predictive modeling.
$70,000 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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