Detalii loc de munca - București

Descrierea jobului - București

JOIN A TEAM RECOGNIZED FOR LEADERSHIP, INNOVATION AND DIVERSITY Honeywell International is a $40 billion diversified Fortune 100 leader with more than 130,000 employees in 100 countries around the world. We invent and manufacture technologies that address some of the world’s toughest challenges linked to global macro trends like energy efficiency, clean energy generation, safety and security, globalization, and customer productivity. We are building a world that’s safer and more secure, more comfortable and energy efficient, more innovative and productive. For more information, please visit or follow us @HoneywellNow. As a Data Visualization Specialist in the Honeywell Analytics Center of Excellence organization, you will: Develop compelling visual stories to effectively communicate meaningful insights from large data sets. Build, maintain, and support rich and interactive graphical representations of data (reports, dashboards, and/or user interfaces) Present data in an intuitive easy to understand format Help answer complex analytical questions through graphical representations Become a subject matter expert in visualization techniques/tools, determine which best work on the data types, and also understand the limitations of each technique Help audiences understand the psychology of visual perception


Required Skills and Experience Basic Qualifications: 2-3 years of experience with data visualization tools (e.g., Pentaho, Tableau, D3, Qlikview, Spotfire, etc.) Demonstrated experience in big data visualization, design frameworks, concept visualization, storytelling, user experience and prototyping 2+ years of experience with web technologies (e.g., HTML, JavaScript etc.) Good communication skills, both verbal and written Ability to communicate and present complex quantitative analyses in clear and precise manner to leadership team Preferred Qualifications: Experience in distributed analytic processing technologies (Hadoop, Hive, Pig, Presto, MapReduce, Kinesis/Kafka, Spark, etc.) Experience with scripting languages such as Python and R Background in IT

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