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Senior Quality Data Informatics Analyst. Responsibilities include but, are not limited to: · Work across functional areas to assess oncology reporting requirements, determine the optimal visualization strategies, and then collect, analyze and present quality improvement data for purposes of Institute-wide program evaluation, management/decision-making, clinical quality improvement, and regulatory compliance.
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Analyze and implement data quality rules for Data Lake tables to monitor different data quality dimensions and health of the data including the Informatica tool IDQ. Harvest and capture technical and business metadata for data cataloging using tools including EDC and Axon. Follow and prepare change control process as part of SDLC for production deployment.
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Own the data mapping, business logic, transformations, and data quality in collaboration with business partners such as Sales Operations, Finance, Field Sales, Data Engineering teams.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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The analyst will also monitor performance, quality and control plans to identify improvements within JIRA, ALM Helix or other tools along with data, security, and project management improvements.
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Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality. As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling - e.g., models, schemas, controlled vocab.
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As a Data Quality and Informatics Manager at the Office of Vital Records within the Georgia Department of Public Health, you will join a dedicated group of public health professionals that help support the overall mission and vision of protecting lives of Georgian residents in a variety of ways.
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Leads engineering teams and guides members in best practices for data movement, data quality, master data management (MDM), data masking, data sub-setting and/or data virtualization development (collectively referred to as data integration and data management activities.
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Serves as a member of the Vital Records management team that implements the office’s strategic direction, policies, objectives, and operational plan to ensure quality service and data are consistently provided to Georgia’s constituents and stakeholders.
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As a Senior Data Engineer, you will be responsible for the design, orchestration, monitoring, quality, accuracy, and security of data throughout its lifecycle, including data ingestion, collection, storage, processing, and analysis primarily using Snowflake, Fivetran and Astronomer.
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Data Integrity ("DI") is responsible for data management, data governance, and data quality consumed by the functions within FRM. DI leverages tools to manage data quality based on logical rules and thresholds across one or more of the following dimensions: accuracy, completeness, conformity, consistency, coverage, duplication and timeliness.
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In architecture, design and development of data integration (ETL) solutions, including data quality and master data management - primarily using Microsoft technologies; + Data Integration: SSIS, Azure Data Factory, Databricks, or other enterprise ETL tools.
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Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream.
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Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness) At People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy.
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data quality jobs Title: data specialist Company: Pwc
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