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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Ability to map source data and design/build dimensional models that deliver analytics. In addition to writing code, you will offer strategic thinking and thought leadership to optimize and scale Marvins data platform and architecture per Marvin business requirements.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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7 or more years of relevant experience in AML / BSA regulatory compliance, data analytics, data validation, risk management Experience working with KYC and AML data. This individual will work in the Strategic Analytic Team (SAT) under the FIU. The Strategic Analytics Team regularly takes on high profile projects related to risk identification, process automation and optimization, data exploration, regulator requests, and efficiency improvement opportunities across EFCC. In addition, the SAT executes ongoing data enrichment and metrics reporting to support our EFCC partners' daily operations.
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Data/Analytics: Splunk, Tableau, Power BI, Click. Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
$175,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop, design, and maintain dashboards and analytics with client-provided tools and integrate with existing governance, risk, and compliance (GRC) tools to collect, refine, and prepare data for analytics and visualization.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Drive architecture in one or more areas of data storage (Data Lakes and Warehouses), data integration, Business Intelligence and analytics. Design cloud based and hybrid solutions to support the analytics and information delivery needs of our business, enabling data driven decisions throughout the organization.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our suite of services includes licensing and multimedia sponsorship management; publishing, audio, digital and social media; data analytics; ticketing, ticket sales and professional concessions expertise; branding; and campus-wide business and sponsorship development.
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Desirable skills and techniques include 2D and 3D cell culture and bioassays, immunostaining, flow cytometry analysis, and data analytics such as machine learning. Preference will be given to candidates with experience in pluripotent stem cell culture, 3D cell culture (e.g. spheroids or organoids), matrices, and/or biomaterials (e.g. hydrogels.
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The agencys heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive people-based marketing strategies. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology.
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The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
$130,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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The VP, Analytics and Product Development will lead in delivering data-driven, actionable insights and spearheading innovative product development initiatives on behalf of our clients. Ideal candidates will have a robust background in analytics, data science, product development, shopper/omni-commerce marketing, and a deep understanding of the technologies, platforms, and best practices that define the digital, retail/shopper media, and marketing spaces.
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data analytics jobs in Minneapolis, MN
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