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Position Summary: The Senior Manager of Data Analytics predominately uses a tech stack of Power BI, SQL, Visual Studio Code, Snowflake, and Excel to answer questions to data that is ETL’d from our ERP, CRM, and various internal and external data sources.
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Bachelor’s/Master’s degree in Computer Science, Data Science, management information system (MIS), Information Management, or equivalent, Extensive experience, including technical hands-on experience working with AML Transaction Monitoring systems like Mantas, Actimize, Prime, etc.
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As the coding data quality auditor you are responsible for the coordination of auditing and education in support of achieving organizational strategic initiatives. Performs functions as both coding data quality auditor/educator and is responsible for providing oversight on education and audits of medical records in compliance with federal coding regulation and guidelines.
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Master’s degree from an accredited college or university in Epidemiology, Microbiology, Clinical Laboratory Science, Medical Technology, Nursing or a related discipline and four (4) years of satisfactory clinical experience or experience working in infection prevention and control, health care epidemiology or a related field in a hospital or a health care setting; or.
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Overall 6+ years of hands-on experience in computer/software engineering with majority in big data engineering. Be up-to-date with the latest tech trends in the big-data space and recommend them as needed.
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These experiences are full-stack solutions built atop a complex and robust data platform in order to support key security workflows for both third-party risk management and external attack surface management personas.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A bachelor's degree in computer science, data analytics, data visualization, or a related quantitative field, and two years of experience with Tableau server, OR an equivalent combination of education, training, and experience.
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Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
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Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.
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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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What You’ll Be Doing: Data Science: Advanced knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. Experience supporting large complex projects involving multiple work streams and stakeholders Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plan to senior executives Ability to translate complex ideas and express them in concise, simple to understand ways If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.
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Proven experience in data engineering, big data (Hadoop, Hive, Spark, etc.) Stay ahead of with the latest advancements in data engineering, big data technologies, and cloud platforms.
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Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)." Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
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Project management skills and experience managing implementation of integrations or implementation of clinical technologies like eCOA, IRT, EDC, Medical Devices, and Clinical Data Wearhouse for large drug development programs.
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Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake) Please elaborate candidate's experience in implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake.
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data science big jobs Title: scientist senior associate in New York, NY
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