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Contributes to and maintains registry operations manual detailing standard operating procedures related to clinical documentation and source data entry, data abstraction, data quality assurance, and data submission.
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This role is supported through the guidance of the rest of the Insights & Analytics team along with other data specialists across GCO, with business knowledge provided by the Casino Marketing team.
$60,600 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Communicates and reports revenue and charge entry data as requested. Maintains general knowledge of CPT codes as they relate to the charge entry process. Performs reconciliation of charge entry for these areas and assists with documentation requirements for the area.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Other duties include collection and interpretation of engineering data, compiling data for project reports, collecting and compiling field data as required, assisting in proposal efforts as directed, documenting technical data for management review, assisting with preparation of labor/material estimates and design packages for clients, and providing other entry level duties as assigned.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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The Department of Public Utilities seeks applicants for the position of Data Analyst II in the Rail Transit Safety Division. The Data Analyst II will support the Rail Transit Safety Division’s data-driven decision-making processes.
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Is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. You will apply statistical analysis methods to identify trends, create data visualizations, and build dashboards using popular tools such as Tableau, Excel, Cognos, and Looker.
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Data management will include scoring standardized assessments, medical record reviews, data entry and verification, and training in the processing of neuroimaging data. Duties will involve direct work with research participants (recruitment, in-person data collection), including helping to execute study visits involving magnetic resonance imaging (MRI), neurocognitive assessment, data management, statistical analyses, and dissemination of research results.
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When you begin your job with us working on the front-end as a courtesy clerk, customer service associate, or cashier, you are taking a step towards an opportunity that can help you learn, grow, and even develop a long-lasting career!
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Usage of business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP) Build data ingestion processes using Google Cloud ETL tools (Data fusion, Dataflow, Dataproc, Airflow.
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Expertise in Data Warehouse, Data Lake technologies, ETL/ELT tools and processes. Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
data entry jobs Title: warehouse Company: General Dynamics Information Technology
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