Detalii loc de munca - București

Descrierea jobului - București

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 Honeywell.com or follow us @HoneywellNow. As a Senior Data Visualization Designer 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

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Required Skills and Experience Basic Qualifications: · 5+ 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 Demonstrated experience with SQL and NoSQL databases · 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 ADDITIONAL ATTRIBUTES: · “Big picture” thinking about how to utilize data and create new insights · Comfortable working in a dynamic and fast-paced environment with several ongoing concurrent projects · Excellent ability to communicate analysis results and present to a broad audience, including senior level management · Ability to think from the perspective of insight consumers Ability to communicate complex analysis through simple and intuitive representations.

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