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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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The position requires a high degree of flexibility, independence and willingness to participate in multiple activities and provide support to all members of the Case Management Department. Works collaboratively with the Case Manager, Brewster Ambulance Services Transportation Coordinator and the VPNE care van ambassador to coordinate the various modes of discharge transportation.
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Collaborate with IT and data management teams to improve data collection, cleansing, storage, and retrieval processes. Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python.
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A boutique consultancy specializing in Data Science support and strategy is seeking a Senior Data Engineer to support a large drug discovery project with a leading commercial Biopharma firm in Boston.
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Collaborate with people and stakeholders in other MassDOT divisions regarding data management, governance, and inventories. Experience with data visualization and web development software including but not limited to Tableau and PowerBI.Experience with web development platforms and coding applications such as python, JavaScript, Java, or R. Experience in communications and/or graphic design a plus.
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The Equity Derivative Portfolio Manager will work closely with teams across Investment Management, Barings and Enterprise Risk. The TeamThe Quantitative Portfolio Management (QPM) team has primary focus in asset-liability management (ALM), product pricing, and the formulation and execution of quantitative strategies that enhance policyholder surplus and mitigate unwanted risks in the portfolio.
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Understands financial markets (e.g. M&A, large Corporates, Liens and Loans, Banking, Capital Markets, Alternative Investments) Experience working with cross-functional technical teams including Customer Service, Product Management, Development, Sales, Pre-sales, legal, and marketing.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Investment acumen and passion – Supporting the mission of Global Macro Strategy at Wellington by focusing on global financial markets to translate macroeconomic research into investable ideas that are applicable across asset classes.
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Between 3 and 5 years of experience with data or business analysis, program management, operations, information systems, and/or project management. As the QuickBase Data Operations Manager , you will empower the company to better understand its operations and the outcomes of its services on low-income children and families across Massachusetts.
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You will use tools such as GCP BigQuery, Looker Studio and Power BI to extract data and create reports for ad-hoc and routine reporting. Software Experience: Knowledge of SQL, SAS, R, Python, Tableau, GCP, and/or other programming/data query/reporting knowledge, also, intermediate to advanced skills in Microsoft Excel is required.
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Reporting to the Global Brand Strategy Director, the Coordinator will ensure consistency and cohesion across the brand, in alignment with our brand guidelines, brand architecture and brand platform.
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Catalent Pharma Solutions is hiring a Product Development Engineer II is to actively participate in the development of pharmaceutical processes, technology transfers, and scale-up of spray-drying, particle size reduction, blending and capsule filling unit operations.
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The Geneva ecosystem is one of a select few strategic systems used here and its accounting and investments book of records data serves as a linchpin of the information relied up on across Portfolio Management, Finance, Operations, Investor reporting and Compliance.
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Coordinate with data management study leads, clinical operations, internal stakeholders and external vendors to map non-EDC data from collection through analysis. Experience working in an outsourced data management model preferred.
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