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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Experienced in managing and optimizing data storage using Azure Data & Analytics Services, Data Factory, Data Lake, DataBricks, Cosmos DB, Synapse Analytics, PowerBI, and MS SQL Server.
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Ensure the adherence to best practices for web analytics implementation, data governance, and data privacy regulations within Adobe Analytics. Strong understanding of web analytics, data visualization, and the ability to derive actionable insights from Adobe Analytics data.
$110,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform. Manage and design Data Security Solution (Encryption/ Access Control/Storage Management) and ensure legal data privacy compliance i.
$150,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
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Work that is within scope includes: employee HR and benefits questions, new hire onboarding, PEO account management, maternity, paternity, other types of leaves, workplace accommodations, managing benefits & severance administration, Payroll liaison, standard and custom HR/workforce reports and dashboards, compliance reporting, HR vendor billing, benefits reports, records management, employment verification, immigration and I-9 administration.
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Proven experience (2-5 years) working as a Business Intelligence Analyst, Data Analyst, or similar role, preferably in HR analytics. Stay updated on industry trends and best practices in HR analytics and BI tools.
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Preferred: Knowledge of major technology disciplines (emerging tech, cloud computing, architecture, software development, application portfolio management, service management/digital desk, network infrastructure, data analytics, cybersecurity, ITFM, etc.
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The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, and governance strategies across the firm.
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The successful candidate has experience in deal origination, financial analysis, capital structuring, and portfolio management, and a willingness to apply those skills in directing capital toward gender and racial justice.
$200ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Databricks for data analytics and pipeline creation. Relevant certifications in cloud platforms (AWS, Azure, GCP) and data engineering tools (Databricks, Kafka) are a plus.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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Identifies ways to improve data reliability, efficiency and quality of data management. This role is focused on data engineering to build and deliver automated data pipelines to and from various data sources, primarily iSeries to and from Microsoft Dynamics 365.
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