Data Analytics/Visualization Engineer

Atlanta GA   Computer Software Posted: 2 weeks ago  

Job Description:
Our client is looking to roll out new features and offerings around data visualization and building insights, this role will play a crucial part empowering customers to save energy and optimize building performance by tuning the vast amount of data that commercial buildings generated from IoT devices & HVAC equipment into actionable insights. Huge opportunity to join a team with a mission to make waves in the smart/sustainable buildings industry across Global commercial businesses.

• 5+ years’ experience of hands-on data visualization development
o 3+ years’ experience in the manufacturing, factory, or building equipment industry (taking data from physical equipment)
• Extensive experience with SiSense, Tableau, or Power BI visualization tools (SiSense preferred) as well as JavaScript
• Strong experience in an AWS environment utilizing Redshift Data Warehouse
• Great communication skills – ability to collaborate with business leaders, gather customer requirements, and technical teams to provide data solutions
• B.S. degree in Computer Science, Data Management, Statistics, or related field

Nice to have:
• AWS Big Data certifications
• Experience with building automation or building management systems (BMS)

• Requirements Gathering: Work with product management, customers, and other stakeholders to translate business needs into technical specifications including features, data sourcing needs, and working with the data engineers to design required data models.
• Data Analysis, Prototyping, and Solution Development: Design, develop and maintain interactive dashboards and reports. Analyze large datasets from IoT and HVAC systems to identify trends, patterns, and actionable insights.
• Ensure the integrity and accuracy of content: Perform data validation and testing to ensure customers have trustworthy insights.
• Performance Optimization: Perform performance analytics and work with Data Engineering to optimize the data sources and analytics to deliver a great customer experience.
• Documentation: Develop documentation and training materials to support end-users in navigating and interpreting analytics applications.
• Research: Stay current with the latest trends and technologies in data visualization and analytics and drive continuous improvement and innovation across the organization.

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