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Innovative and strategic way of thinking to address complex data quality issues. Collaborate with Special Lists editors and automation team to improve processes and data quality across all content.
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The successful candidate will play a crucial role in ensuring the quality and reliability of our software products, with a focus on designing, developing and implementing automated solutions to ensure the quality and reliability of our software, testing Azure-based applications, Snowflake data warehouse, and ETL backend systems.
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Manages and utilizes a variety of parking management software including PaybyPhone, Genetec, T2, and other systems to for quality control, data analysis, and continuous improvement efforts to deliver service of parking and transportation needs.
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Provide recommendations on whether to invest in proactive mitigation plans and regularly present investment plan to senior leaders including CEO, CFO, EVP’s in quality and R&D, and all supply chain ELT. Establish an ongoing review of the program to ensure best practices are captured and the program is up to date.
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Works collaboratively with clinical project managers, statistical programmers, clinical research associates, and others to meet project deliverables and timelines for clinical data acquisition, quality checking, and reporting.
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Ensure data quality and integrity throughout the ETL process. Implement data integration solutions using Azure Data Factory and Snowflake. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into SQL Server databases.
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Establish global data governance to increase transparency, quality and accuracy of data & implement, maintain and oversee global HR master data standards. Establish and roll-out governance frameworks to ensure data compliance, data quality and data security on a global scale.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Identify opportunities to enhance data quality, consistency, and accuracy through data profiling and cleansing activities. If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Your day-to-day will involve:Engaging in dynamic discussion laboratory personnel in our US and European locations to guide them in developing IHC/IF single-plex/multi-plex assays and in situ hybridization (ISH)Partnering closely with our digital pathology team and data scientists to develop and verify digital image analysis algorithms and results from image analysis projects.
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Prior experience in Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing as it related to Health Plans; Provide solution designs in the area of Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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Summary: Core Responsibilities include providing administrative assistance, managing data and reports, coordinating communication between departments, and assisting with territory activities.
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Ensure data governance and data quality standards are met throughout the data lifecycle. Experience in data visualization tools (SQL, Python, R) and BI visualization tools (Tableau, Power BI, QlikView, etc.
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data quality jobs Title: administrative assistant Company: Kelly in Princeton, NJ
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