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Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development. Early-career skills in NVIVO, qualitative coding, analysis of interview and open- text data Critical thinker with collaborative focus, strong communication skills, and a commitment to continued skill development.
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Experience using Elasticsearch/Kibana or data visualization software (Tableau, ArcGIS, Analyst Notebook). We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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As a part of a data analytics and support services team, the Data Analyst will support efforts providing data science, architect, and data analytics support that includes analyzing, verifying, designing, refining, modernizing, and maintaining the data model and component views within various client systems.
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Additionally, the Senior Research Data Analyst supports the design and deployment of the next generation of the CF Foundation Patient Registry by implementing complex queries and analyses with an ultimate goal to enhance the impact of the data collected at the Registry.
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Experience must include 6 months in design and development in each of the following: Oracle database; SQL; Google BigQuery; Tableau; Google Data Studio; SAP Web Intelligence; and Salesforce.
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Must have experience in quality assurance of Linux and Kubernetes container systems and be familiar with big data technologies such as Hadoop, Spark, and Kafka. This program will support Naval Air Systems Command (NAVAIR) in development of a modernized Engineering Network (eNET) prototype to support research, development, and engineering activities.
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Proficiency in experimental design, data collection, advanced statistical analyst, and data management software including R, SPSS, and Excel. Demonstrated capacity to lead behavioral science research projects including development, design, data analysis, and reviewing, compiling, writing, and editing research reports, briefings, and summaries to support research findings.
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Learn more about what makes Ripple so great check out our capabilities Skills That Set You Apart Prior experience with analyzing data from financial ERP systems, especially JAMIS Prime Experience with additional Microsoft Power Platform tools: Power Apps or Power Automate Relevant Microsoft certifications, especially Power BI Data Analyst Associate If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Senior Workday Analyst plays a pivotal role in People Technology projects, including Workday product configuration, reports development, HR data integration projects and data management.
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2+ years' international development experience supporting USAID-funded projects with data analyses, including MEL data for programmatic decision-making. We are actively seeking a dynamic, goal-oriented Health Data Analyst to provide quantitative analysis and GIS support across our portfolio of activities.
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Position Title: Data Systems and Projects Analyst- Contractor. 5 years' experience as a Data Systems and Projects Analyst. Competence in SQL, Tableau, Power BI, and Excel Pivot Tables for Data Management, Visualization, Analytics, and Reporting.
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Data Networks, Inc (DNC), a subsidiary of ASRC Federal Holding Company, is seeking a Program Analyst/Interagency Agreements Lead in Silver Spring, MD. This is a hybrid position that requires at least 1 day per week in the client’s Silver Spring office (accessible via the Red Line.
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A Staff Data Scientist for Market Regulation Technology will support the establishment of data science and machine learning best practices as FINRA moves to machine learning (ML)-based pattern development.
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You will work cross-functionally between teams to guide measurement frameworks, learning agendas, data strategy, and performance analytics. Are you passionate about customer strategy, digital design, marketing, and platform development.
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