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Analyze data using EXCEL, SQL, and/or STATA as appropriate. · Proficiency in SQL and/or STATA, WORD, and EXCEL. RPC economists are supported by economic assistants, legal nurse consultants, certified coders, life care planners, vocational consultants, accountants, and document production staff.
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Experience with scripting/automation languages: BASH, SQL, Expect, Python, Ruby. Knowledge of cloud / big data software stack model and knowledge of provisioning / deployment of open standard software stacks.
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Proficient skill level in Microsoft Excel; familiarity with data solutions such as SQL, Tableau, and Alteryx is a plus, not required Education & Experience:BA/BS degree and 6-8 years relevant experience OR equivalent combination of education and relevant experience.
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Solid knowledge of Java, Kotlin, Javascript/TypeScript, ReactNative, SQL, C. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
$323,400 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Familiarity with healthcare data standards and regulations such as HIPAA, HL7, and Meaningful Use. •Experience with healthcare databases and data warehousing concepts (, SQL Server, Oracle, Hadoop.
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Nice to have technical skills: Statistics, Machine Learning, Data Analytics, R, SAS, SQL, Python. With the data explosion and new investment in semiconductors, it's an exciting place to be.
$71,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong knowledge and extensive experience with Microsoft SQL server technologies (all core areas: SSMS, SQL clustering, Data Synchronization, Encryption, Partitioning, Performance, Security, SSAS, SSIS and SSRS configuration) is mandatory.
$172,600 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Collect, compile, analyze, and manage data regarding complaints of discrimination, harassment, sexual harassment, sexual violence, domestic/dating violence, retaliation and other complaints falling under applicable university policies, Title VI, Title VII and Title IX. Gather, research, and analyze data for use in statistical calculations and reporting in accordance with university, federal, and state requirements.
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Expert experience in backend SQL database development with large data sets. Extensive experience optimizing database performance using T-SQL and PL/SQL for efficient data retrieval.
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Hands-on programming experience in the following languages and technologies: Java, J2EE, Spring, Spring Boot, Spring Batch, iText, JSON, XML, Maven, Python, Shell Scripts, JFrog, Hibernate, JPA, SQL, Groovy, JMeter, JUnit, Mockito, Git, IBM MQ.
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Skilled in using data analysis tools, such as SQL, Python, R, Power BI, Tableau, or SAS, to manipulate, visualize, and interpret large and complex data sets. The Manager, Global Sales Compensation Operations Lead role is a unique opportunity that calls for a skilled, hands-on, analytical individual who will play a lead role on the operations team supporting data acquisition, incentive calculation processes, field engagement, reporting, training, and support.
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Data source techs should include Oracle, SQL Server, Excel, Access and Adobe PDF. 8 Required Experience working with Snowflake 10 Preferred Excellent oral and written communication skills.
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Technical Skills: Proficiency in HRIS systems, MS Office Suite (especially Excel), and data analysis tools; basic understanding of SQL or other database querying languages is a plus. The HRIS Specialist is responsible for managing, maintaining, and optimizing the organization’s HRIS to ensure accurate and efficient HR data management.
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Experience working with BI Tools (Power BI, Azure Data Factory (ADF), Azure SQL, or similar. Understanding of data modeling concepts with an ability to manipulate data using software tools and SQL.
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Proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel). As the Supply Chain Data Analyst, you will have a strong background in data analysis, with a focus on supply chain, last-mile delivery, and trucking operations.
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