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Experience using Microsoft Excel, Google Workspace, and third-party reporting tools such as Crystal Reports, Business Objects, or Cognos, and/or ETL tools such as Microsoft SSIS or BizTalk, and/or relational database management systems such as Oracle, Microsoft SQL Server or MySQL.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Strong knowledge of SQL, SSRS, SSIS, data analytics, business intelligence, project management, process documentation, advanced SQL querying. Information Technology - Required to understand each and every key and core business application system in use I.E. NextGen EHR, SAGE, ADP, Office 365, Cloud computing, Data Loss Prevention and contingency planning.
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Responsibilities Responsibilities: Designs and implements secure, scalable, and efficient data architectures (OLTP as well as OLAP), Sybase/ SQL Server/ Oracle/ Postgres/ MySQL/ DB2/ Teradata/ Snowflake/ Netezza Develops and enforces data governance standards and policies.
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This position must understand the organization’s data structures and software analytical tools (Business Objects, Excel, Visio, and SQL.) for departmental analytics and processing. Experience with, or able to learn, business software and manual systems (i.e. Symplr Provider, QNXT, JIVA, etc.
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Ability to draw conclusions from visual exploration and analysis of the data collected using reporting and data visualization tools (Tableau, ArcGIS, COGNOS, etc.) Experience in writing SAS, SPSS syntax to produce analyses, or experience in manipulating large datasets, SQL, and data visualization.
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Proficient with the structure query language (SQL) for analytical data mining, software development, TFS, and business reporting. The Configuration Analyst III must have the ability to independently analyze or mine data, draw sound conclusions, and is able to interpret and follow detailed and precise written and oral instructions such as checklists, process diagrams, and policy.
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Experience with Python, SQL. The Research Analyst, under the general supervision of the Assistant Vice President for Institutional Research, Planning and Assessment, is responsible for collaborating with senior staff at IRPA for institutional data analysis, data quality, survey administration, and data visualization.
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Experience with SQL based databases a plus, including data mining and report generation using Tableau or equivalent BI tool. Assist with crop cost management including std rates, raw product entries, review/analyze farming overhead, water allocations, all farming inventories, planting/listing entries, other farming operation related entries and other duties.
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Technically fluent with data platforms, includingSQL Server Management Studio (SSMS) and Azure SQL databases, Azure Data Factory highly desirable. Experience with the organization’s core software applications and technologies including by not limited to Epic, Sage, Microix, ADP, Microsoft Power Apps, SharePoint, PowerBI, API management.
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Will have proven working experience as a data analyst or business analyst, technical expertise regarding data models and database design development, and strong knowledge with Excel, Tableau SQL, and SQL Server Reporting Services.
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A minimum of two (2) years of database related experience; Preferably People SOFT, MS ACCESS, MS SQL. Prior experience as a classroom teacher or counselor and a supervisor or administrator. A minimum of two (2) years of database related experience; Preferably People SOFT, MS ACCESS, MS SQL.
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This position must have a basic to intermediate understanding of healthcare data and related analytical tools (Business Objects, Excel, SQL.) Intermediate Microsoft Office (Word, Excel, and Outlook) skills including initial education or experience creating charts, pivot tables, formulas, and calculations in Microsoft Excel.
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