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Meta is seeking a BMS Quality Manager to join our North American Data Center Design, Engineering & Construction team. Work with project level Construction Managers, QA/QC Site leads and General Contractor's to ensure creation, accuracy and maintenance of logic driven schedule for construction, commissioning, and packaged equipment BMS activities while leveraging this data to identify early finish dates for detailed design document delivery.
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Improve the quality of data and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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As a Data Operations Specialist, you will work with a team of consultants, engineers, and analysts to identify the business requirements to migrate CFPB's data to the cloud while continuously improving data quality, security and integrity.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Organizes SEVIS data processing under DHS guidelines and maintains data quality control management. Runs weekly reports, creates graphics and does data analysis as it relates to international student trends.
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The Quality Assurance Representative will be deployed to multiple locations thru the life of this contract, including San Juan, PR; St. Croix / St. Thomas (USVI); Fort Moore, GA; Miami, FL; El Paso, TX; and El Centro CA. Per diem costs will be paid to the employee by Cube Root.
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2+ years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities. Help define data quality metrics associated with the quality of data ingested into Collibra.
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Ensure data quality and consistency by implementing data cleaning, transformation, and validation processes. Proven experience (three to eight years) as a Data Analyst, Management Analyst, or similar role.
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You will play a valuable part in supporting the NCSCs mission to integrate quality program wide protecting NOAA networks, computers, programs and data from cyber-attack damage and unauthorized access.
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Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Data Visualization Specialist (Tableau/Power BI)/Business Process Analyst. The Data Visualization Specialist/Business Process Analyst Shall Use Proven Performance Management And Continuous Process Improvement (PM/CPI) Methodologies To Streamline Processes To Eliminate Process Waste In Order To Improve Organizational Productivity, Improve Access To Information And Decision-making, And Increase The Utilization Of Assets And Resources.
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Manage large datasets and perform data quality checks to ensure the validity of analyses. Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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data quality jobs Title: data quality analyst Company: Dodge Data Analytics in Washington, DC
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