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Data Visualization: Create informative and visually appealing reports, dashboards, and data visualizations to communicate insights to cross-functional teams, with tools such as Looker Studio and Tableau.
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The Market Research Intern (Data Analyst) will work under the direction of and partnership with the Market Research Manager and analyze business and market data. Performing detailed exploratory analysis, regression analysis, predictive modeling, machine learning, data visualization or other methods to deliver business insights.
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Yes Energy delivers real-time market data and electric power trading decision solutions. React, Redux, JavaScript, Java, Spring, SQL, REST API, Application Developer, Data Engineer, Single Page Applications, Data Visualization, UX, DX, Agile, TDD / Test-Driven Development.
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Collaborate with the team’s stakeholders to identify requirements and deliver insightful, efficient, and secure data and visualization solutions that also align with the Bank’s risk appetite, technology standards, and best practices.
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RWE Analytics: Utilize advanced analytical techniques to analyze large-scale clinical data sets and derive meaningful insights that contribute to evidence generation for regulatory submissions, market access, and post-market surveillance.
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Experience with data visualization tools (Looker, Power BI, Tableau). Knowledge of the UGC gaming market, e.g. Roblox and Unreal Editor for Fortnite. Our Game Studio is seeking a talented Senior Data Analyst to join our dynamic team.
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The company provides real-time, cross-channel fraud prevention, anti-money laundering detection, case management and trading surveillance solutions that address such concerns as payment fraud, cybercrime, sanctions monitoring, market abuse, customer due diligence and insider trading.
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Expert experience with data visualization tools like DOMO , Tableau, preferred. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on THE TEAM We are excited about music, live entertainment, marketing, data, and technology.
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Intermediate proficiency in developing with data visualization tools (e.g., Power BI, Domo, QlikView) and analytics platforms (e.g., Python, R). In this role, you will be responsible for harnessing market share data, macroeconomic indicators, and business segmentation, and analysis in support of key enterprise initiatives.
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Bachelor's degree or equivalent experience Bachelor’s degree in Business Analytics, Information Retrieval/Information Technology, Computer Science, Market Research, Psychology, Digital Libraries, Math/Statistics, Digital Marketing, Content Management, Digital Analytics, Data Science, or similar field Req.
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Experience with SQL, Python/R, statistical analysis, and data visualization tools (e.g. Tableau, Power BI) Curaleaf International is the largest vertically integrated cannabis company in Europe with a unique supply and distribution network throughout the European market, bringing together pioneering science and research with cutting-edge cultivation, extraction and production.
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Bachelor's degree in Business, Statistics, or a related field and three years of hands-on experience with HR data visualization and analytics, Proficiency in data analysis tools (e.g., Excel, SQL, Tableau.
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Experience with data visualization tools (Tableau, Looker, Microsoft BI, etc) Leverage performance data, market trends, and business dynamics to operate and maintain detailed financial projections for all cloud environments such as Google Cloud, AWS, and Snowflake.
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Experience with data visualization and reporting tools, such as Tableau or Power BI. It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics.
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Experience in data visualization and business analytics tools like Alteryx, Tableau and Microsoft PowerBI is a plus. Experience applying data-driven statistical analysis and modeling to financial market data.
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