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The Clinical Data Analyst(CDA) will work collaboratively with Methodist Healthcare System (MHS) and HCA Information Technology Group (ITG) to optimize work effort, develop common solutions, and share best practices.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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Demonstrated experience consulting integration activities and interactions with the IC, external agencies and the DoD to include data (various GEOINT modalities) acquisition, related ground architecture development efforts to include data management platform (DMP) necessary to meet user requirements.
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The Data Governance and Data Quality Analyst will specialize in serving EY clients in the areas of Data Strategy, Data Governance, Data Quality, Data Definition and Usage, and Data Management.
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Minimum Qualifications: SQL Server and T-SQL expertise VA or other Federal Government experience required Agile development management experience JIRA/Azure DevOps experience Healthcare data experience VA Vista/Millennium/CDW experience Microsoft reporting tools (SSRS, PowerBI) experience Preference for person with current VA network access and Tier 3 Public Trust Preferred Qualifications: Certifications on multiple cloud platforms (Salesforce, Dynamics 365, Azure, AWS, etc.
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The Data Warehouse Architect will focus on enterprise-wide data modeling and database design and will create logical and physical data models, mapping logical to physical. Summary The Data Warehouse Architect will participate in the design of the technical and information architecture for the data warehouse, including all information structures (staging area, data warehouse, data marts, and operational data stores.
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Magnifi is seeking a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi by TIFIN is changing the way consumers shop for investments by bringing trusted data, insights, and a world of investment opportunities right to their fingertips.
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The Data Warehouse Architect will coordinate with other Data Warehouse IT stakeholders to ensure overall health and performance of the data warehouse environment and works with end users to translate business questions and requirements into applications that employ the appropriate reporting tools.
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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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You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become availableYou will own, maintain, and build on our Airflow task orchestration systemYou will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelinesYou will work to build strong relationships with and support co-workers, including remote peers in other time zones.
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Data Stack: Fivetran, Airbyte, dbt, Snowflake, Looker, Hex, Google Analytics 4, Google Tag Manager. As a Senior Data Analyst/Data Analyst, you’ll dive deep into our product analytics, email, SMS, and sales data to inform digital and product strategy to drive retention and LTV.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization's overall HR Data & Reporting objectives.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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