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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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Assist with testing and data validation activities involving PwC, DSC, RJW, Celigo, and Orderful. Proven ability to manage testing and data validation processes with multiple stakeholders, including PwC, DSC, RJW, Celigo, and Orderful.
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Familiarity with SVOD and AVOD datasets - Familiar with various data transfer methods/protocols including but not limited to APIs, feeds, S3, S/FTP, Google Cloud Storage, querying data out of data warehouses, Snowflake etc.
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Collaborate with IT and data teams to architect and optimize HR data infrastructure, systems, and tools for efficient data collection, storage, and analysis. 8+ years of experience in people analytics, HR data management, or related roles, with a focus on data governance, predictive analytics, and employee listening strategies.
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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Experience with DoubleClick/GAM, YieldEx, Operative, Omniture, Google Analytics, Freewheel, Data Studio, Tableau, Nielsen, Comscore. Dive deep into our data to discover potential revenue opportunities, diagnose revenue-impacting issues and provide recommendations to senior leaders.
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IV.AI is looking for a Data Analyst to join and help perform data analysis on diverse datasets and machine learning model outputs for large enterprise clients and for internal initiatives and products.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Build tools and services to support data discovery, lineage, governance, and privacy.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
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Further experience in any of the following specialty areas is beneficial but not required: communications systems, Fire Alarm, Traction Power, utility relocation and distribution, building management systems, and/or supervisory control and data acquisition.
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Assist Program Director/Team Supervisor and Program Evaluator in developing program evaluation and data collection plan, data collection, and continuous quality improvement activities with Evaluators and other performance related issues.
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This role will either manage, directly perform or act as the liaison to the appropriate teams to deliver all Critical Facilities Services; vendor management, mechanical, electrical, plumping (MEP) and fire-life-safety (FLS), physical security, Facilities Operations and Service Delivery (FOSD), logistics (shipping, receiving & storage), eWaste, media destruction and data center design consultation.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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This Senior Data Engineer will be responsible for partnering with the Enterprise Technology team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PROD.
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data job Title: enterprise architect Company: Cognizant in Los Angeles, CA
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