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Familiarity with using data-intensive computer models a plus. As a Senior Data Analyst, you will work closely with the consulting, software development, and model development teams to ensure that our models are meeting the needs of the clients and software as well as capturing the meteorology and atmospheric behavior of the peril at hand.
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Broad experience with portfolio and order management systems (e.g. Factset, CRD/State Street Alpha), Investment data warehouse solutions (e.g. Eagle), modern cloud based data warehouses/lakes technology, BI tools, investor client reporting systems and client facing systems a strong plus.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Support the state’s homeless data warehouse, the Rehouse Data Collective, by ensuring regular automated transfer of EA data with accurate exports. The Emergency Assistance Data Analyst I (EADA I) applies various research methods to mine, collect, examine, validate, and organize data and derive insights and present information from data analysis, primarily supporting state funded homelessness services including the Emergency Assistance (EA) family shelter program, which is administered by EOHLC Division of House Stabilization (DHS.
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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation of results.
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Job Description : POSITION OVERVIEW: The MassHealth Systems Teams unit seeks a highly motivated individual as a Data Warehouse Snowflake Migration Tester to join its Systems Quality Assurance (SQA) team.
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In this role, you'll grow your technical expertise, apply best practices, and use tools, including Microsoft SQL, SSIS such as SQL Server Integration Services, Microsoft Azure, and Oracle, to design databases, build data models, conduct ETL processes, design and manage data warehouse applications, and optimize cloud computing resources.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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Data Pipeline Management: Design and develop efficient end-to-end data and analytical solutions that support internal business requirements, using a Python stack. Department ProfileGMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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We'll look to you to provide our clients with a unique business perspective that's rooted in modernized thinking with respect to how to perform Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management, and Knowledge Management can transform and improve their entire organization – starting with key business issues they face.
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Experience working with financial data sets like Factset and Bloomberg a plus. Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny.
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The Senior Product Manager will be pivotal in shaping vision, strategy, and roadmap execution for a family of payer-focused data products that accelerate value for business teams in areas such as Quality, Risk Adjustment, Medical Cost Management, and Value-Based Care Analytics.
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Help implement data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire). Azure Data Factory, Databricks (PySpark) and Snowflake preferred. Familiarity with both batch and streaming data operations.
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plus data warehouse jobs Title: business analyst in Boston, Schuyler, Nebraska
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