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The Data Integration Analyst works closely with customer liaisons and the engineering team on gathering customer data and information requirements as a key enabler of data ingestion and transformation and the company's end-to-end technology solutions.
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10+ years of data/cloud product marketing leadership experience in a software/technology environment, ideally in a category-defining company; experience with data integration or analytics applications is a plus.
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Our advanced platform uses natural language processing (NLP) and other AI techniques to analyze extensive financial data from diverse sources such as news articles, earnings reports, social media, and regulatory filings.
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You will lead the architectural design tasks within Salesforce.com, as well as end-to-end integrations with major ERPs, encompassing data mapping and management, optimizing system processes, integrating technical standards with business needs, ensuring system reliability and scalability, and advising on complex projects and risks.
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In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Focus on the improvement of the overall performance for all data integration process, SQL Queries and Scripts.
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This team consists of data engineers whose key functions include database development, system integration, and production support. KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for an Enterprise Data Engineer.
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Knowledge of data integration tools and experience integrating Salesforce with different business systems (data warehouse/lake, middleware platforms, Analytics/BI tools, ERPs, etc.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Implement best practices in data management, ETL processes, and data quality assurance to maintain high standards of data integrity and reliability in Takeda Research.
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Knowledge of data integration and management. This is a full-time on-site role for a Technical Analyst at Ampstek's location in Grove City, OH. The Technical Analyst will be responsible for day-to-day tasks related to Microsoft Dynamics, Azure, Mobile Development, SAP/ERP, Business Analysis, QA & Testing, Solution Design, Network Security, and Cloud Engineering.
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Strong expertise in Business Intelligence, Data Warehousing, Data Integration, Data Science, Big Data, or Digital solutions. Some experience in areas of data including Data Quality, Master Data Management, Data Governance, Data Engineering, and advanced analytics.
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Responsibilities will include contribution to our React front-end applications, ownership of back-end data integration components, and an opportunity to implement designs that handle some of the largest data sets in the industry.
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Develop and implement single-cell and spatial data integration methods and tools to integrate data from proteomics and high-content imaging to identify, prioritize, and characterize novel therapeutic targets.
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Provide options for data integration other than the current interface landscape. Minimum of five years in a Business Analyst role with implementation experience in one or more of the following disciplines: large scale data integration across platforms, application development, application programming interfaces (APIs) or database management.
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What You'll Bring (Experience & Qualifications)PhD or advanced degree required in a field linked to business analytics, statistics or geo- statistics, operations research, geography, applied mathematics, computer science, engineering, or related fieldThe prospective LDS will fit into the company’s team-oriented, relationship-based culture, and will feel comfortable reaching out to other members of the community both for integration with the firm and execution of client business.
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Position OverviewThe Enterprise Data Engineering Team is responsible for the development and support of GMO’s critical data processing and warehousing applications. Engineers are responsible for implementation and maintenance of multiple proprietary databases, with a focus on an Azure Synapse Enterprise Data Warehouse.
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