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Experience working with SQL Applications, VBA, and Databases. 2 plus years of experience working in Data Mining. Experienced Data Mining Operator. Data Mining Operator. Utilizing SQL Application, create connections with various data sets for classification and scanning, familiarity with structured data table extractions, unstructured data sets, and various types of data repositories.
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Experience with the following Languages: Python, R, SQL, DAX, M, VBA. The Senior Data Analyst will have experience in consolidating data by designing and developing methods and processes.
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Experience with SQL, VBA, and Power BI desired. Experience in using data visualization tools (e.g. Tableau) desired. We work seamlessly across practices, industries and jurisdictions with asset managers, private equity and venture capital firms, Fortune 500 and FTSE companies, major sports leagues, entertainment industry legends and other industry-redefining companies.
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Design and develop data warehouses on Teradata using utilities such as Fast Load, Multi Load, Fast export, BTEQ. Proficiency with advanced Excel features and techniques; VBA skills desired.
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LinQuest is seeking an Operations Research Analyst with a background in data science, mathematics, statistics, operations research, or data analytics to join our team in Washington, DC. US citizenship and an active Top Secret / SCI clearance is required.
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Experience utilizing a combination of the following for data analysis- Excel, Access, Power BI/Tableau, SQL, programming language (Python, R, VBA, DAX, etc.) Bachelor's degree in business, supply chain, marine transportation, economics, analytics, data science, or related field from an accredited college or university.
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Utilize scientific inquiry in the independent development of mathematical models and computer programs to evaluate and predict aircraft parameter performance, JMP, MATLAB, Simio, Python, VBA. Examine and validate the accuracy of the USAF maintenance data to include G081, Program Depot Maintenance Scheduling System (PDMSS), and Logistics Evaluation Assurance Program (LEAP) to ensure that it produces meaningful information.
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SkillsGood understanding in statistical concepts and methods Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.Good interpersonal and communication skills.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Implement logistics systems data quality control processes through programming (e.g., VBA, Python, LabVIEW) Experience developing interactive data visualizations (e.g. Qlik, Power BI, Tableau, Dash, Shiny.
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NET, VBA, C#, SQL, Java, HTML, SSIS and Open Source) MS Office: Requires demonstrated knowledge of MS Excel for charting and graphing of data, writing formulas and utilizing functions, and filtering, sorting and formatting of data; requires intermediate knowledge of MS Word, PowerPoint and Access.
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BUILDS, thru SQL, VBA, and data visualization of Excel, both client-facing reports as well as internal management surveillance of quality and client metric reporting as well as client-facing reports.
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Advanced ability in Microsoft Excel (VLOOKUP, SUMIF, Pivot Tables, VBA, etc.) The Reconciliation Analyst is responsible for comparing investment portfolio data from external sources with an advanced web-based system.
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Applies advanced Microsoft skills; primarily in Excel (VBA preferred) and PowerPoint. Advanced Excel skills- VBA coding for macro is a preferred. Responsible for gathering data from various sources and analyzing information to produce weekly/monthly/quarterly/yearly reports for client audience.
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Advanced level of proficiency using Excel (complex calculations, linking worksheets/workbooks, pivot tables, look-ups, VBA) MS ACCESS or Other database knowledge highly desirable (ability to query and update data, experience with data extraction using SQL.
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