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Data Pipeline Development : Design, develop, and optimize scalable data pipelines using Microsoft SQL Server, Snowflake, and Airflow. Who You Are The Data Engineering Manager will lead a team of data engineers in designing, building, and maintaining scalable and robust data pipelines for our property catastrophe insurance business.
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Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit.
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Opportunities are offered in a variety of disciplines including Application Development, Cybersecurity, Data Science and Business Analytics, Information Protection, Network Design, Product Management, Project Management, Systems Analysis, Systems Architecture, Systems Integration, and User Experience Design.
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We are looking for Data Analytics Manager to join our entrepreneurial digital sales global COE team to assist in establishing the foundational sales reporting to measure and track the performance of this new business line.
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As an analytics SME, the BI Analyst II will use data to support new business initiatives, sales performance analysis, hypothesis development & testing, and data modeling to support insightful solutions.
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Hands-on experience, development, and expert knowledge of Collibra or similar catalogue/data governance platforms in support of multiple domains. Is seen as a delivery-oriented operational Business partner able to support and develop products for data capability which deliver on pressing needs across data analytic science, program/business needs, technology, and process enablement.
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Minimum Qualifications – Education and Experience Undergraduate Degree in Business/Public administration, Finance, Public Health, Public Policy, Urban or Regional Planning, Organizational Development, or other data-driven field.
$124,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Under general supervision, gather business and data requirements, convert the business and data requirements into technical requirements for solution development. The business analyst supports the product owner/s in managing the scope of the assigned project, resolves any impediments from requirements perspective for development team, supports the system testing and user acceptance testing.
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Responsibilities: Lead the development and build out of cloud data management solutions to support the Enterprise Data Platform (data pipelines, metadata, data catalog, reference data, and data quality)Reviews business context for data solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
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To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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Job Purpose and ImpactThe Senior Data Analyst will work as part of a cross-functional team to translate business outcomes into refined requirements, data models, and data transformation documentation which are used in the development of complex reporting and analytical solutions.
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Data Analytics LeadKey Role:Support the business through data science and artificial intelligence. Support the business through capture of AI and data science opportunities.
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The Bodhi ecosystem provides faster-time-to-market (business use-cases in matter of days), covers the entire ML Development, MLOps, LLMOps , prevents vendor lock-in with all the different tool/service offerings that are typically used for GenAI solutions.
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Participate with internal and external stakeholders to understand the business logic and other requirements (such as refresh latency) for our Web-based payment integrity solution, client data warehouse exports, and one-time/ad-hoc analysis needs.
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business development jobs Title: data in Atlanta, Papillion, Nebraska
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