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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. The Data Quality Analyst - Provider Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship.
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Data Quality Analyst. In this role you will partner with the Provider Domain Product Owner to perform data quality measurements and analyses to assess patterns, identify root cause, define data quality rules, champion automated measurement and partner with stakeholders to identify data improvement opportunities.
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Orchestrate data quality work within the Agile framework and other methodologies where required for on-time delivery of data quality capabilities and results to stakeholders.
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Implement data quality rules, automated measurement / monitoring, issues management framework, operational dashboards, and predictive models for proactive data quality assessment and identification of improvement opportunities.
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Support state capacity to improve maternal health and address maternal health disparities through quality services, a skilled workforce, enhanced data quality and capacity, and innovative programming that aims to reduce maternal mortality and severe maternal morbidity.
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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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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Incorporate core data management competencies including data lineage, data governance, data security and data quality. Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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Build, modernize and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions using AWS, Databricks, Python and other Cloud technology stack.
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This role requires strong technical background, hands-on experience in Informatica IICS, Databricks Python, ADF, snowflake and other Azure technologies along with data analysis skills and leadership abilities.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Establish a human-centric, modern data governance practice with a portfolio of enabling capabilities that include data catalog and marketplace, metadata management, data lineage, data glossaries, mapping, and data quality rules & standardization.
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Chubb’s North America Data Analytics Division is currently seeking an experienced Data Quality Analyst to join our fast-paced, high-energy team. By leveraging industry best practices, the Data Quality Analyst will play an integral role in maintaining and enhancing our data quality standards.
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Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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This includes identifying risks and serviceability issues related to physical hardware design, participating in the full hardware development lifecycle and using data and business intelligence to drive improvements to efficiency and quality of Oracle and OCIs physical infrastructure.
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data quality jobs Title: data specialist Company: Anthem in Bloomfield, CT
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