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We're seeking a Sr. Business Intelligence Engineer with a strong background in data operations & BI reporting and a passion for data quality and process improvement. Experience with at least 1 non-SQL database, master data management and taxonomic classification of data.
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Oversee the design of the data architecture and the technical architecture for the old-fashion and modern data platforms, including data acquisition and integration, data modelling, transformation and quality processes, master data management, data warehousing and data marts, data lakehouse, data fabric and data mesh.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Determine future discovery and integration requirements and needs to improve CMDB completeness and data quality.
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The Data and Reporting Lead will prepare and submit data for review and discussion to state entities as well as provide data for HEDIS and other healthcare quality measures.
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This individual will also be responsible for creating awareness of AHEAD's world class services that integrate with our key partners, AWS, Microsoft, Harness, GitHub, Palo Alto Networks, RedHat, Wiz, and Databricks, while working closely with current and prospective customers to determine how AHEAD can best serve their app and data modernization initiatives.
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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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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
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Utilize GCP services such as BigQuery, Google Cloud Storage, Dataflow, and data processing and storage. Automate data workflows and processes using orchestration tools like Apache Airflow and DBT.
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Survey Crew Chief Responsibilities: This position is not just responsible for the day-to-day field operation of their survey crew, but their responsibilities also include ensuring their data is of the utmost quality by performing initial processing and analysis.
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Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
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5+ years of experience with data protection software like CASB, O365 (DLP), Forcepoint (DLP), Broadcom, Crowdstrike (Endpoint), Tanium (Endpoint), PKWare (Encryption), and Guardium (Data Monitoring.
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The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. Extract and analyze data using analytics tools such as Python, R, and/or SAS.
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The Patient Experience Coordinator is responsible for providing mediation/issue resolution, service data entry and analyses throughout the health system so that optimal quality and communication can be achieved.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Snowflake administration and security, as well as general data security concepts, such as RBAC controls, securing sensitive data such as PII/PHI, encryption in transit and at rest.
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data quality jobs Title: data specialist quality in Ohio
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