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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
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Keywords:Montvale NJ Jobs, SEO Manager, Search Engine Optimization, SEO Best Practices, PPC Campaigns, WordPress, Excel, Google Webmaster, Google Analytics, Video Optimization, Social Media Optimization, Web Analytics, HTML, Google AdWords, Paid Advertising, Remote, Work From Home, New Jersey Recruiters, Information Technology Jobs, IT Jobs, New Jersey Recruiting.
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Lists," and "News" articles+ Familiarity with platforms such as Asana, WordPress, and Discord+ Image editing experience+ SEO and Google Analytics knowledgeWhat Screen Rant has to offer:+ Fully remote — write from wherever you’d like.
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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.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting.
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Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python. As a pivotal member of the Pens.com Ecommerce Analytics team, the Senior Marketing Analyst is devoted to driving our brands' success via insightful, data-driven decision-making.
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Experience with product configurator platforms, preferably Epicor CPQExperience with application integration middleware (preferably MuleSoft)Experience with enterprise-level CRM software (preferably Salesforce, Pardot)Experience with enterprise-level ERP software (preferably Oracle EBS)Experience with Data and Analytics (Google Analytics, Power BI, Experience with at least one 3D CAD application (preferably Autodesk Inventor)Analytical abilities and problem-solving skills.
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Strong experience in marketing automation platforms like Klaviyo and paid media platforms and analytics: Google, Meta, TikTok and Google Analytics. Develop and execute comprehensive paid media strategies that align with business goals, including but not limited to search engine marketing (SEM), display advertising, paid social media, and programmatic advertising utilizing paid media platforms such as Google, Meta, YouTube and Tiktok.
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Knowledge of web analytics and user behavior analysis (Google Analytics, Adobe Analytics, etc.) Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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Web Hosting, domain management experience, Google Analytics, HRIS Administration, Cloud computing - AWS, Azure, Google Cloud Platform, Experience with Ed-Tech, Procurement and asset management experience, preferred but not required.
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We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others. Partner with product-aligned engineering teams to understand and improve the developer experience of our Google Cloud BigQuery and Pub/Sub client libraries.
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Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud. Hybrid, 3 daysExperience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or FoundryExperience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
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Potential Certifications: Microsoft Azure, Amazon Web Services, Google Cloud)Human Computer Interaction: UI/UX Experience, Usability Testing, Design Thinking Ability to manage multiple projects within and outside of classroom environment; ability to provide advising and career development for a diverse graduate student population; ability to qualify for graduate faculty status at the rank of assistant/associate professor.
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