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The Business Intelligence Developer II will develop and maintain BI interfaces that support Duck Creek Technology’s initiative to improve Data Quality, Data Audit processes and Corporate Metrics Reporting, including developing a Data Architecture with role-based security.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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The Sr. Compliance Tech. Business Analyst/Project Manager will provide business analysis, project management, and related duties for various Anti-money laundering (AML) and Compliance Technology projects in the Boston, Massachusetts area.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The School of Healthcare Business and Technology is seeking adjunct instructors to develop Data Science, R/Python programming, Artificial Intelligence (AI), and other related content areas for courses at the undergraduate level.
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Deliver Business Intelligence: You will be central to the company’s ability to create data-driven insights and assist strategic decision making. Demonstrated experience with Business Intelligence Tools such as Tableau, Looker, Domo, Microsoft Power BI, etc.
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Introduce learning capsules to enable self service capabilities for management of business data catalog and allied assets. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Lead customer & business intelligence and analytics function (i.e. competitive analysis, market intelligence, demand mapping, customer needs states, customer profiling, etc.) + Understanding of business intelligence and analytics tools and methodologies used to identify and assess new growth opportunities.
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In financial crimes risk management, Quantifind's solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Strong understanding of the relationships between technology, data, operations, and business areas of the asset management, investment management. The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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You will partner closely with the leaders of Onyx’s engineering teams (DevOps and Infrastructure, AI/ML analysis and computing platform, data & knowledge platform, data engineering, UI/UX engineering), along with the Onyx portfolio management team, to deliver industry-leading Data Engineering products that power downstream consumption of petabytes of business-critical data.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs. In reality, this means working with the leaders of the following groups – AI Research, Engineering, Product, Computational Chemistry, Medicinal Chemistry, Biology, Business Development, and Operations – to ensure t.
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