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Determines quality improvement opportunities by collecting and reviewing data. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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The Data Governance team's goal is the continuous measurement of data quality, quicken the pace of anomaly detection, and drive data quality improvements at the source resulting in faster cycle times for data remediation.
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At least five years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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Required Qualifications: 10+ years experience technically leading and/or implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data driven applications.
$183,300 - $256,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The Enterprise Data Quality Analyst will interact with various business data owners, data production system staff, data analysts, and decision makers to develop and implement proactive data quality practices.
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NPI (New product introduction) quality planning (Work Instructions and Procedure development) Interact with CPP NDT level III personnel to ensure product compliance. Experience conducting internal audits using NADCAP Audit checklist for Heat Treatment Experience operating within relevant regulatory requirements, e.g., FAA, OSHA, DCMA, ISO Systems, Quality Assurance/Control and Cost Systems ASNT or ASQ certification, Lean Manufacturing, FMEA, Process Control, SPC, CAD preferred.
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Crystal Stairs is seeking a Quality Assurance Specialist for our Quality Assurance Unit. Under the direction of the Quality Assurance Coordinator, the Quality Assurance Specialist conducts program monitoring and is responsible for data collection, and reporting for our Programs with a focus on.
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Improve the data quality and transparency of the pipelines (defining data requirements, identifying and implementing data observability tooling - lineage, sources, transformations.
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Minimum 5 years of experience in data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
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Analysis of traces and fault memories (consolidated measurement data) with Porsche’s proprietary testing systems and software in cooperation with PAG and PEG Departments. Collaborate with PAG and PEG Departments responsible for Complete Vehicle Quality and Engineering to facilitate and expedite countermeasure development and validation.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Maintain detailed documentation of your work and changes to support data quality and data governance requirements. Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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3+ years of experience in data analytics, including building and deploying enterprise-wide data models with applications to real-world problems. 5+ years of experience with data exploration and visualization like Tableau, Looker, PowerBI, etc.
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Tracking progress and notifying management of issues that require escalation and assuming responsibility for resolving or coordinating the resolution of resource capacity issues and project data quality concerns.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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data quality jobs Title: enterprise data architect Company: Cybercoders in Los Angeles, CA
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