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Our company delivers operational supply chain insights based on data and predictive analytics. 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.
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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. What you’ll do Sight and Sound play a large role in our day-to-day experiences.
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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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Knowledge of web analytics and user behavior analysis (Google Analytics, Adobe Analytics, etc.) As a Staff Partnerships Analyst on the Partnerships Analytics team, you will help lead strategic, data-driven decision making at Mailchimp.
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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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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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Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence and Data Science that focuses on building strong portfolios and programs.
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Master's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline. Bachelor's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline.
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Using a data driven approach, administer human resource programs including, but not limited to, HR Systems, people services, HR analytics, international payroll, global mobility & immigration, sales incentives, benefits, and wellness.
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The role of VP Data Modeling is to develop, implement and maintain physical data models for domains with respect to financial services, in support of Aladdin Data strategy. Ultimately, a top-notch data modeler should be able to design models that are atomic, reduce data redundancy, streamline data movements, and reduce TCO.
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Use audience, channel, and performance data to inform conception and creation of digital content calendars, channel strategies, and a suite of on-brand marketing content aligned to channel strategy and buyer stage, including web copy & landing pages, web articles, blogs, e-mails, advertising, case studies, social/sharables, tip sheets, infographics, multimedia scripts, as well as reports and other longer form lead gen magnets.
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Job summary •Hands on experience in Cisco Routing & Switching •In depth knowledge of routing protocols - BGP & OSPF •Hands on experience in Aruba Clear Pass & Wireless Controller •Hands on experience in Client switches •Hands on experience in Riverbed WAN optimizer •Hands on experience in Juniper Switches & Routers •Hands on experience in Citrix NetScaler Client •Excellent communication skill 3.
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Enabling data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Our category-defining enterprise platform enables organizations to operationalize trust across privacy, security, data governance, GRC, third-party risk, ethics, and compliance, and ESG.The ChallengeSenior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
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Experience as a data scientist or developer with Fusion Analytics Warehouse (FAW), Autonomous Data Warehouse (ADW), Oracle Analytics Cloud (OAC) or Oracle Data Integrator (ODI) are must-have requirements.
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