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cleaning and collation; creating and updating data dictionaries/codebooks; developing data management and storage solutions. Run data analysis scripts, create data visualizations, and summarize results via
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for complex data analysis, stored procedure development, and troubleshooting. The candidate must demonstrate a strong ability to translate fundraising business logic into technical solutions and have experience
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fisheries in Minnesota. Responsibilities include designing and implementing experimental angling in multiple lakes, project coordination, data management, statistical analysis, stakeholder engagement
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of user documentation standards and policy and procedure library maintenance. Identify possible data issues when system changes are proposed. Advise on developing end-user reports, analysis and CRM
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for geospatial data visualization. The work will be performed in several cloud and/or
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Undergraduate Academic Affairs to develop email marketing campaigns for prospective students, including analyzing metrics and applying data to improve campaigns; Manages strategy for paid social campaigns; In
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Information: Job Requirements: Set-up, maintain and operate lab automation systems used to process samples. Operate, calibrate and maintain equipment used in analysis such as spectrophotometers, analyzers
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-MATCH, Power Query, macros). Financial Modeling Data Analysis, Dashboarding & Visualization (e.g. Power BI). ERP & Financial Systems (SAP S/4HANA & Jedox or similar). At least 5 years of experience in
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working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages