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Experience using SQL Developer is a plus. Experience using Microsoft Excel and Google Sheets (macros, imports, query functions). Experience using SQL Developer is a plus. Work in close collaboration with the Business Intelligence Lead, Federal Data Lead, and other Program teams.
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3+ years of experience in the use of relational database concepts and applications, specifically use of MS Access, SAS, SQL, Excel and other relevant software applications. Experience with SQL coding in data extraction, cleaning, transformation and analysis required.
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Data extraction and manipulation skills using industry standard software (SAS, SQL, R etc. Microsoft Office proficiency required to analyze and present actuarial information (Word, Excel, Access, PowerPoint, etc.
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Microsoft Office Suite - Outlook, Word, Excel, PowerPoint, SharePoint, Visio, T-SQL, SSIS, SSRS, SSMS. The SQL Server Database Developer improves the quality of data analytics to produce high-quality SQL programming for purposes of, but not limited to, SQL Integration (SSIS), Reporting (SSRS and Power BI) and to support business process.
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Strong analytical skills and proficiency in data analysis tools and programming languages such as SQL, Python, R, or Excel. Experience with data visualization tools such as Tableau, Power BI, or matplotlib, and the ability to create impactful visualizations and dashboards.
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Microsoft Access and/or SQL experience strongly preferred. Proficient with using Excel for basic data quality and data validation checks. This will also include data mining, project management and evaluating business systems and user needs.
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Knowledge of Microsoft Excel/Google Sheets formulas and functions; Scripting language experience like Python, R, Javascript, Google App Script a plus. Proficiency in various forms of SQL e.g. MS SQL Server, Oracle, MySQL.
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Able to transform raw data into meaningful information, knowledge of different data sources like Excel, SQL Server, Web, etc., and how to connect to these data sources from Power BI. Knowledge of IRB processes and approval mechanisms included in ongoing IRB oversight preferred.
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Highly proficient in Excel; SQL and Tableau experience preferred. Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
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Work on finance systems to include database creation, data aggregation, build reports in database software, build visualized dashboards, use forecasting tools, write SQL statements, and complex modeling.
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Strong knowledge of and experience with reporting packages (e.g., Business Objects), databases (e.g., SQL), programming (i.e., XML, JavaScript, ETL Frameworks, etc. Knowledge of statistics and experience using statistical packages for analyzing large datasets (e.g., Excel, SPSS, SAS.
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Develop analyses using Excel, Access, SQL and Manhattan. General working knowledge of SQL, VBA, and data visualization programs such as Tableau or Power BI. Advanced proficiency with MS Office (Word, Access, PowerPoint, Excel- Pivots, VLookups, Sum/Ifs.
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Basic computer skills in Word, Advanced skills in Excel, BW, SAP and Power Point and preferably in Tableau or SQL. Skilled in supply chain analytics using customer data; demonstrated experience using data to influence customer actions + experience in demand planning + forecasting.
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Must have advanced knowledge and application of data extraction and statistical software such as SAS, R, Python, SQL, Microsoft Excel, and/ or others. Must have advanced knowledge and application of data extraction and statistical software such as SAS, R, Python, SQL, Microsoft Excel, and/ or others.
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Merchandise planning systems, forecasting methods, VBA, MicroStrategy, ODBC, SQL, Alteryx, Power BI, any other supply chain modeling tools. Under the direction of the Director - Supply Chain, the Operations Planning Analyst will provide strong problem-solving skills, process improvement, and analytical support (Excel/Access/modeling) to the Supply Chain department.
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