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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. Oversee the implementation of data visualization tools and platforms to empower stakeholders with intuitive access to data insights.
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Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools. Bachelor’s degree in data Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree preferred.
$130,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledge of data visualization tools like Power BI and Tableau. Experience with Business Intelligence and visualization tools. Bachelor's Degree in Computer Science or a STEM, or equivalent experience required.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Build data marts to enable advanced analytics and support enterprise-wide business intelligence systems for self-service analytics, and data visualization (Tableau/PowerBI) Bachelor's degree in data science, Computer Science, Statistics, Bioinformatics, Mathematics, or a related field; advanced degree in similar technical discipline is a plus.
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Solid knowledge of databases, data warehousing techniques, experience working with technology teams such as engineering, business intelligence, data warehousing and data science for implementing data-analytics solutions.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Advanced practical experience with data management, reporting, analysis and data visualization software (e.g., Tableau, SPSS, Alteryx, Hyperion, R, Python, Cognos, etc); Experience with Salesforce; Advanced Excel skills; Excellent data visualization, report preparation, and written communication skills, including ability to prepare and deliver presentations to an executive audience; Individual must be able to conduct rigorous, applied research that informs the strategic goals of the university.
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Leverage latest visualization and analytical tools & techniques (Excel, SQL, Tableau/Qlikview, and others) to derive and display data insights for Axtria’s clients. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Data Analytics and Insights (or closely related occupation) performing data analysis using Snowflake, SAS, SQL for data querying, Python, and Alteryx.
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You have a BS in engineering, computer or data science, computational biology or equivalent experience in a relevant industry. You may bring previous experience with relational databases, containerization, pipeline architecture, HPC, scalable batch processing, data visualization platforms, and Linux software management paradigms.
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The Associate Director/ Director, US Advanced Analytics and Data Science reports into Head of Strategic Business Insights within the US CDSO department that that oversees corporate and pipeline strategy, business development, business insights, and shared operations among other responsibilities.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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Provide data analytics, data insights, information management, business process management including planning, deployment and performance management services by leveraging Axtria’s advanced cloud based platforms and other leading industry solutions.
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