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Familiarity with business intelligence visualization tools such as Looker, Tableau, Power BI, etc. Experience working with a wide variety of source systems, building data pipelines to ingest both streaming and batch data, and delivering clean data for downstream usage in reporting, analytics, data science, and applications.
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Proficiency in data analysis, data visualization, and data storytelling, using tools such as SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Expertise in data visualization tools such as Power BI, Tableau and Looker is a plus. Job Title: Principal Data Scientist, Enterprise Advanced Data Science - Finance.
$302,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Basic experience with any of the major Business Intelligence reporting tools, such as Power BI, BusinessObjects, Hyperion, Cognos, Microstrategy, Tableau, QlikView, or SSRS. There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles.
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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. Education:MS or PhD in data science or related fieldPhysical Requirements: General Office DemandsWe are proud to offer a competitive compensation package at McKesson as part of our Total Rewards.
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Strong proficiency in analytical tools and software, including SQL, Python, R, and data visualization tools such as DOMO, Tableau or Power BI. The successful candidate will drive our retail strategy and offering through data-driven insights and recommendations alongside the data science and data analytics team.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent skills at data visualization and reporting – Demonstrated skills with Data, BI and Reporting software packages such as Alteryx, Business Objects, Tableau, Looker, Amazon QuickSight, Power BI, etc.
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3+ years of experience using Power BI and other data visualization tools. The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Create interactive dashboards, reports, and visualizations using data visualization tools (e.g., Tableau, Power BI) to effectively communicate key insights and trends to stakeholders.
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Exceptional quantitative and qualitative analytical skills, including knowledge of data visualization tools (i.e., Power BI, Tableau, etc. Conducts a variety of statistical analyses using Microsoft Excel Power BI or other software, based on Enterprise or Department Goals, Objectives and Key Results (OKRs), and operational priorities.
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Data Visualization experience leveraging tools such as Excel, Power BI, Tableau, Data Studio or similar. Demonstrated mastery of ad tech, mar tech, and data tools and platforms across multiple channels.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with cloud data governance tools like Power BI, Tableau, Informatica, Collibra, or equivalent. 2-5 years experience in data management, software testing, or polymer science/engineering.
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Ability to create meaningful visualizations to communicate insights (e.g., using tools like Power BI, Tableau, Matplotlib, Seaborn) Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop.
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