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Join Takeda as an Associate Director, Process Analytics where you will provide support for drug substance process chemistry and engineering research through specialized expertise in analytical method development for the purposes of reaction optimization and mechanistic understanding.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Demonstrates extensive-level, abilities independently managing project teams for complete end-to-end engagements involving preparation, conception, realization, and the execution of SAP Data and/or Analytics implementation projects across multiple business functions such as Finance, Sales, Supply Chain, Engineering and Human Capital.
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Serve as a key liaison with the Business Intelligence group, IT Data Engineering and Operations, Strategy & Innovation, and other groups to provide business input and to fully leverage the data and analytics capabilities available to Marcomm.
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Description About the roleThe Global Data Analytics and Engineering (GDAE) team is looking for a data engineering leader who has a passion for driving results through dynamic teams and thrives in an environment of servant leadership and has hands-on Agile expertise.
$133,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data engineering, informatics and data science team to develop modern analytics applications for proactive clinical data management using AL/ML and cloud based technology.
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Partner with business analysts and data engineering teams to prioritize, QA, and release new data tables, metrics, and analytics solutions. Proficiency with Ecommerce customer & site analytics data sets (e.g. customer journeys, conversion funnels, feature measurement) along with marketing, pricing, assortment, and fulfillment strategies.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Accounting, Data Processing/Analytics/Science, Mathematics.
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Highly skilled with digital analytics tools (e.g., Adobe Analytics, Adobe Target, Contentsquare), database querying (e.g., SQL, Snowflake), and data visualization (e.g., Tableau, Kibana.
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Work closely with analytics and data engineering partners across all areas of the business to create accurate and high-impact solutions to address opportunity areas within the organization.
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Collaborate with data engineering to stitch various disparate data sources together, enhancing insights across the entire risk department. As an Analyst I, Risk Analytics, you will heavily support fraud operations management through the use of data and analytics in order to assess the effectiveness and efficiency of our agents.
$93,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams, including LOBs, data engineering and Enterprise Product teams, to translate business needs into data-driven solutions and recommendations.
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The Product org articulates and measures the value enabled by Analytic products while leveraging agile and product management best practices for effective and efficient delivery with our partners in the Data & Analytics Engineering organization.
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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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4+ years of experience working in data engineering, BI/analytics engineering, solutions architecture or related data fields. As a Senior Analytics Engineer, you will support the BI lead on data pipeline and ecosystem from end to end.
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data engineering jobs Title: analytics in Boston, MA
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