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Professional certifications such as Certified Public Accountant (CPA), Chartered Accountant (CA), Certified Internal Auditor (CIA), Certified Fraud Examiner (CFE) or other relevant professional certifications are strongly preferred.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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BA/BSc or higher degree in computer science, cyber security, data analytics, political science or international relations preferred. Are you passionate about conducting cyber threat intelligence in the private sector, including collecting data from open, deep and dark web sources, researching underground marketplaces, analyzing threat actor forums, and monitoring TOR sites.
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Greystones Group is a fast-growing woman-owned small business supporting the Warfighter with best-in-class artificial intelligence and big data analytics capabilities. Active CompTIA Security+ or CCNSecurity, CySA.
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With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. Qualifications · At least 3-5 years of experience in Financial Analysis or Business Analytics.
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Experience with standard analytics tools (e.g., Google Analytics, Parse.ly, Adobe Analytics) and, preferably, measurement across channels, including search, social media and email.
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Good understanding of enterprise application integration technologies and common EA topics such as persona-based journeys, process orchestration, master data management, analytics and insights, artificial intelligence, etc.
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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You'll be working with technologies like Kubernetes, Kafka, Apache Druid, Redis, MinIO, Java Spring, Golang, and more to enable our customers to better protect their networks against threats, deliver granular network analytics, and gain datacenter–wide visibility.
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Data visualization experience: python, intermediate to advanced Oracle HCM Analytics – OTBI and BI Publisher. The successful applicant for this role will have a proven track record in HR Data analysis – building and developing reports, dashboards, and analytics.
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Master’s in a quantitative field such as Computer Science, Statistics, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. The core foundation we look for is an aptitude with Mathematics, Statistics, Algorithms, Optimization and a competent ability in coding and with data science languages and tools, such as Python or Apache Spark.
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Experience working with modern observability and analytics tools (DataDog, New Relic, etc.) Professional experience building and operating systems pertaining to user provisioning, user identity & access management (SSO, MFA, SCIM, OAuth, RBAC/GBAC, etc.
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The Compensation Manager will partner closely with our CHRO on executive compensation and managing annual compensation processes while working on adhoc compensation analytics. The Compensation Manager will partner closely with our CHRO on executive compensation and managing annual compensation processes while working on adhoc compensation analytics.
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Design, develop, and deploy machine learning models for various healthcare applications, such as predictive analytics, disease diagnosis, and treatment recommendation systems. Proficiency in programming languages such as Python, R, or SQL, along with experience with libraries/frameworks like TensorFlow, PyTorch, scikit-learn, and pandas.
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In business for more than 52 years, we excel in full-spectrum cyber, data collection & analytics, enterprise IT, and systems and software engineering solutions that support national and homeland security.
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