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3+ years experience with Data Governance deliverables such as Business Glossary, Data Lineage, etc. 5+ years experience with SQL and Business Intelligence report development tools such as Business Objects, SSRS, Cognos, MicroStrategy, Tableau, QlikView, Spotfire, etc.
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In this role, you will oversee teams designing and building data solutions that capture, explore, transform and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Extensive experience with data engineering technologies, business intelligence tools, designing, reporting and delivering analytic solutions, data management and warehousing, and the strategic use of information.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Accelerating the adoption of digital tools will help finance teams simplify reporting processes, allow them to leverage the vast quantities of data, but also give them the ability to more effectively structure data to see the big picture and target areas that will drive business performance.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Manage and influence the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading and initial exploration in the process of searching and finding data patterns.
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Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
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Experience of D&I spanning across: Data Engineering (Modern Data Platforms, Data Management & Governance, Data Integration Engineering), Data Sciences (Marketing & Sales Analytics, Artificial Intelligence, Advanced Analytics), Advanced Visualization, Business Analytics (Enterprise Data Management, Business Intelligence, Analytics at Scale), Internet of Things and Data platforms good understanding of the Oil & Gas industry.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Williams-Sonoma, Inc. is looking for a Marketing BI (Business Intelligence) Analyst who is responsible for processing data, developing dashboards, and extracting actionable insights for the Digital Marketing teams.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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However, clients need new business models built from analyzing customers and business operations at every angle to really understand them. The ideal candidate will have extensive experience in AWS Cloud Generative AI IBM InfoSphere MDM Siebel MRM REST / API Service Testing Infa MDM Testing Webservices - SOAP Snowflake Informatica MDM Informatica MDM SAAS IBM MDM Testing Informatica Testing Python and Automation Testing.
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The C5I Service Center is comprised of a geo-dispersed workforce, numbering over 1,100 dedicated military, civilians, and contractor personnel committed to meet the demand articulated by the Commandant’s Intent, “The rapid pace of innovation in the maritime domain is leading to growing interconnectivity, increased reliance on data and networks, and the deployment of commercial space and artificial intelligence systems.
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