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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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2 years of relevant experience in value-based care / quality improvement roleAnalytical skills necessary to analyze and interpret routine data. Ensure accurate data collection, reporting, and submission to payers for quality programs.
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Build processes to help identify and improve data quality , consistency and effectiveness. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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We are the trusted partner to over 500 sports organisations globally, capturing the highest quality data for many of the worlds largest leagues and federations such as the NFL, NBA, MLB, English Premier League, Serie A, FIBA and the NCAA.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Lead cross-functional teams on data analysis and quality improvement projects. Manage & interact routinely with Genflex Production Manager, Pre-Press Manager, Bindery Manager, and manufacturing associates as need be, to establish quality standards for raw materials, work in process, best practices, and finished products.
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Qualifications The Quality Coding Specialist should have the following qualifications:Education: High School Diploma or HSE. Associate or bachelors degree, preferred. Job DescriptionJob DescriptionQuality Coding SpecialistCINQCAREPosition Description OverviewThe Quality Coding Specialist will work closely and report to the department manager of risk adjustment ith accountability for providing strategy, judgment, organization, and evidenced-based analysis to influence decisions, and directly to meet CINQCARE requirements.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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data quality jobs Title: associate in Atlanta, SC, Australia
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