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Evaluate and work to improve the capabilities of Business Intelligence tools through new methodologies, technology, and data management; review existing reports to enhance accuracy, functionality, security, and consistency.
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Research is supported by the National Heart, Lung, and Blood Institute, American Society of Nephrology and the BWH Khoury Innovation Fund. Under the supervision of the Principal Investigator and research staff, the Research Analyst Intern will conduct analyses with and develop pipelines for various types of omic data as well as clinical datasets from epidemiologic studies and clinical trials.
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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Capital One is looking for an eDiscovery analyst to join the Cyber Insider Threat and Technical Investigations Team. The role will work closely with other lines of business to support litigation and investigation requests utilizing multiple applications across electronic devices such as email archives, document management systems, laptops, workstations, servers, cell phones, and multi-cloud environments.
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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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Migration activities: Scope definition based on analysis of existing business glossary, metadata catalog, and data connectors in EDC/Axon. Migration planning in a phased approach following prioritization defined by client project lead.
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A Business Analyst will be responsible for providing strategic direction and leadership in the areas of Veeva Vault, change management, and adoption strategies. Collaborate with key stakeholders across the organization, including clinical operations, regulatory affairs, data management, and IT, to assess user needs, gather requirements, and develop tailored solutions to address business challenges.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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The Quantitative Research and Development (“QRD”) group and its constituent teams has general responsibilities for valuing assets, generating analytics, adopting emerging technologies, and conducting cashflow projections in support of operations across Investment Management, Enterprise Risk Management, Corporate Finance, and Corporate Actuarial and Business Analytics departments.
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Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.) From data ingestion, processing and storage, to serving and scale, we work closely with other engineers and product management to build consistent and highly available systems that tackle real world data and scale problems.
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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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The Sr. Associate provides subject matter expertise in one or more of the following processes (Asset-Liability Management, Interest Rate Risk, Liquidity Risk, Investment Portfolio Management, Cash-Management, Debt Capital Markets, Capital Allocation, Capital Market Theory, Capital Planning and Recovery & Resolution.
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In the Americas region through effective data management. Experience in U.S. electricity markets, wind farm operations, production-based availability, performance loss calculations, and high frequency timeseries data.
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She/he will have extensive experience with Tableau Data Sources, Extracts, Data Visualizations, Tableau Desktop, Tableau Server, Tableau cloud, Tableau Mobile, Tableau Reader, Tableau Prep, Tableau Bridge, SQL Query, SAP Business Objects administration, Alteryx Designer, Alteryx Intelligence suite and Alteryx Server.
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data management business analyst jobs Title: business analyst Company: Cgi Group Inc in Boston, MA
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