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The Lead Business Intelligence Analyst for product will have proven experience driving organizational change with data through product outcomes, standing up new analytical capabilities, championing the use of best practices and staying current with the latest and greatest in the field of data analytics.
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Click Therapeutics continuously expands and refines its platform with novel cognitive, behavioral and neuromodulatory mechanisms of action and advanced data-driven tools such as artificial intelligence and machine learning.
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As Citi’s in-house security, investigative and intelligence team, CSIS operates independently but in full partnership with Citi's business functions who are also our colleagues. Utilizing multiple internal/external data sources and technology tools to develop all-source intelligence assessments, our intelligence program supports Citi and its decision-makers to better understand emerging threats in the banking/financial industry, risk trends for the company, and opportunities to improve or adapt business practices.
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Desired Qualifications Extensive experience (7+ years) in financial crimes compliance, anti-money laundering (AML), and/or counter-terrorist financing (CFT) roles; Bachelor’s degree in finance, Accounting, Business Administration, or a related field Professional certifications such as CAMS (Certified Anti-Money Laundering Specialist) or CFCS (Certified Financial Crime Specialist), or CFE (Certified Fraud Examiner), preferred.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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These services include technology strategic planning, web site development, graphic design, disaster recovery, systems development, network administration, audio/visual services, business process re-engineering, change management, program management, security administration, service desk, computer operations, telecommunications, and document management.
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The role is setup to then work on either seeing how GPU’s can be applied to the computational and business requirements of our FSI customers, or how existing accelerated workloads can be optimized for AMD Instinct products.
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Hands on experience with first party data analysis/business intelligence tools like Adobe Analytics, Looker, etc. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.
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The Data Steward of the Data and Analytics (D&A) team is responsible for utilizing relevant data expertise and executing the business unit’s strategy on leveraging data and intelligence to benefit the regulatory functions performed throughout the organization.
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Possess profound knowledge of data and reporting capabilities and technologies, including account-level and attribute-level data and dictionaries, data extraction, business intelligence, and visualization tools (e.g., Tableau.
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You will work with the Global Trade Compliance Team, collaborate across the Bloomberg Engineering teams, Chief Technology Office, Chief Information Security Office, and other business groups, to provide regulatory oversight of software / technology development / implementation / deployment as it related to import / export compliance across the various Bloomberg businesses.
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You have experience as a Customer Success Manager supporting an analytical solution (Business Intelligence, Data Analytics, FP&A), and/or you come from roles in Financial Planning and Analysis and may have experience creating advanced financial models, finance systems, finance transformation, or consulting team is a plus.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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We work with state-of-the-art technologies that are part of the next generation data ecosystem, which includes services used for data ingestion, data movement, data management, data storage, processing, integration, data lakes, warehousing, business intelligence, reporting, visualization, and data analytics.
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High proficiency with business analytics tools (e.g., Power BI, Tableau, Qlik) Experience with data modeling, data warehousing, and ELT processes Excellent communication and presentation skills Organized with good project management skills Strong understanding of data governance and quality principles Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP.
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business intelligence jobs in New York, Maumelle, Arkansas
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