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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; Our Forensics practice provide independent forensic expertise and data analytics capabilities in complex litigation, cyber security incident response, internal and compliance investigations, and white-collar defense matters.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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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. The Healthcare Data Analyst II will also begin to develop analytic consulting skills and utilize a customer service focus in order to design and deliver analytic products that meet or exceed client expectations.
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Knowledge and use of data mining software tools such as SAS, SQL, Business Objects, Cognos or similar. Mine data & build large datasets from data sources (e.g. claims and encounter data) to support analyses through use of efficient SAS/SQL code which will produce answers to complex business questions.
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Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data. The Branch & Small Business Banking (BSBB) team is looking for a data analyst for a variety of new and impactful projects across the 2,300 branches and 12k bankers.
$132,440 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Pharmacy Data Analyst will utilize subject matter expertise as well as exceptional analytic skills to deliver analytic products that meet or exceed client expectations. Under the general direction of the Manager or designee, the Pharmacy Data Analyst will develop data analyses for assigned projects and develop/deliver all related reports.
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The Data Scientist Lead Analyst will contribute to the Medicare Clinical and Customer strategy, performing research and analysis within the Clinical, STARS, and Risk Adjustment Analytics team.
$138,300 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The Stigma Resistance Coalition Study at the MGH Depression Clinical and Research Program at the Massachusetts General Hospital (MGH)/ Harvard Medical School is seeking a research data analyst.
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Experience with data science using statistical programming software (R, SAS, etc) We are currently seeking candidates to fill a research data analyst position. We are seeking candidates with experience and training in statistical software such as R and experience with environmental health topics, biostatistical analyses, data visualization, and data presentation.
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We are looking for a Corporate Audit Data Services Analyst, Assistant Vice President who will be responsible for maintaining the division's data management framework and generating reporting for our various stakeholders.
$132,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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The Health Data Analyst III is a key member of the Finance management team whose responsibility is to lead analyses to support Finance staff and the Chief Financial Officer in meeting corporate objectives.
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5 – 7 years of related experienceKnowledge and use of data mining software tools such as SAS, SQL, Business Objects, Cognos or similar. Mine data & build large datasets from data sources ( claims and encounter data) to support analyses through use of efficient SAS/SQL code which will produce answers to complex business questions.
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