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Provide cybersecurity continuous monitoring support of the network(s), systems, and users using a variety of client-approved tools (including Archer GRC) and resources (for example, but not limited to the following: Assured Compliance Assessment Solution (ACAS), Nessus, Core Impact, Security Content Automation Protocol (SCAP.
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Common and emerging issues impacting Financial Services clients Knowledge of data analytics and risk modelling as it relates to AML/BSA and OFAC solutions; Working with transaction monitoring solutions, investigating potential suspicious activity.
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Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on Everstream Analytics to push their supply chains to be faster, smarter, safer, and sustainable! Our company delivers operational supply chain insights based on data and predictive analytics.
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This Business Intelligence Analyst Lead role is part of the Data Analytics team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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Analytics Development: You will develop analytics solutions using Salesforce's native analytics tools, such as Salesforce Reports and Dashboards, Einstein Analytics (formerly known as Wave Analytics), or Tableau CRM. This includes creating custom reports, dashboards, and visualizations that provide insights and support data-driven decision making.
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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow. As the Azure Databricks Tech Lead, you will play a pivotal role in architecting, implementing, and optimizing Azure Databricks solutions to support our data engineering and analytics initiatives.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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3+ years experience in Data Warehousing, Data Engineering, Analytics Engineering, or Software Development, or Data Science. Master's degree or advanced certification in Data Science or Analytics is a plus.
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Our analytics team is a growing team here at Mailchimp to support our strategic initiatives, business operations and revenue management as Mailchimp continues to evolve. Knowledge of web analytics and user behavior analysis (Google Analytics, Adobe Analytics, etc.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Exceptional experience developing schemas, testing for quality assurance, administering RDBMS, and monitoring of one or more relational databases including Postgres, MySQL, Oracle, or SQL Server.
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Understanding and experience of using various production support tools like ServiceNow, JIRA, APM like AppDynamics and Reliability and Monitoring tools like New Relic, ELK stack, Data Dog. Expertise in Application support covering L1, L2, L3, Batch monitoring, ITSM and ITIL.
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Proficient in Azure services such as Azure Blob Storage, Azure Synapse Analytics, Azure Databricks, and Azure Functions. Create data processing workflows and pipelines to support data analytics, machine learning, and other data-driven applications.
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monitoring analytics jobs Company: Pwc in Atlanta, GA
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