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The primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS.
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Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience.
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Experience with business intelligence tools in support of data analytics (e.g. Business Objects, Cognos, Tableau, PROS, etc). Experience with data extraction, data mining, data acquisition, data profiling, and data warehouse management.
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Integrate/manipulate large datasets from data sources (e.g. claims and encounter data) to support analyses using MS Excel, Access, SAS, SQL, COGNOS, and Business Objects. Demonstrated experience/skills in appropriate computer, statistical or database applications including SAS/SQL, Business Objects, Cognos or similar.
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Uses tools such as Reporting Workbench, SQL, Crystal Reports, and Business Objects Enterprise. Experience in Epic, data reporting, data mining, and/or analytics in health care or related field.
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I.e., business objects, or other data reporting / data mining tools. 3-5 years of background knowledge as a Data Analyst or IT Business Analyst with a focus on finance or investments and data analysis / integration.
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Proficiency with Microsoft Excel is mentioned in virtually any financial analyst job description; familiarity with data query/data management tools is extremely helpful (Access, SQL, Business Objects.
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Experience with SAP Business Objects or SpotFire | Strong Excel (exporting business objects data to excel to check it) | SQL. 2+ years’ business experience in business analytics, manufacturing data analytics, data mining, or statistical modeling in a cGMP related industry.
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Duties and Responsibilities Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation.
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Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc. Strong understanding of statistical modeling, predictive analysis, and data mining.
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We are looking for a certified Data Analyst who will help us turning data into information, getting insights and developing business decisions based on the analysis results.
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Proven working experience as a Data Analyst or Business Data Analyst. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks.
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Work across client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling. Snowflakes SQL, Collibra, Business Objects.
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Nice to have - Technical expertise regarding data models, database design development, data mining and segmentation techniques. Technical expertise regarding data models, database design development, data mining and segmentation techniques.
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Experience in data mining and sentiment analysis of social media datasets. Providing technical expertise in data storage structures, data mining, and data cleansing.
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data mining business objects jobs Title: data analyst
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