Have you ever wanted to work in the world of advanced analytics and machine learning? Are you passionate about using cutting-edge Microsoft technology and modern BI best practices to solve complex problems? Are you interested in working in a data-driven and fast paced environment where team members are empowered to innovate and drive ideas from conception to scale? Microsoft's Real Estate and Facilities and Security Center of Innovation team is looking for a highly motivated and talented professional to play a role in executing its digital transformation vision and technology strategy. With your help, we want to pioneer a future fueled by innovation, powered by data, and focused on customer solutions. As a Data Analytics Engineer, you will be involved in designing, creating, validating and supporting BI capabilities that enable our mission critical business processes. You will have the opportunity to design and develop creative, compelling, and cutting-edge systems that support our world-wide
You are a creative, "roll-up-your-sleeves" problem solver with an innovation mindset You find joy in solving complex strategic and operational challenges You are an execution-oriented leader with a passion for learning complex technical areas and applying them to create sustainable processes You are excited about working with senior leadership to design strategies You demonstrate a growth mindset with a proven focus on learning, growth and experimentation You are a great influencer, collaborator, and communicator and enjoy working as a part of an innovation team Willingness to explore, iterate
REQUIRED QUALIFICATIONS: Bachelor's degree in Computer Science or Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience Strong BI, data warehouse, relational database development and performance tuning skills (3+ years) Experience with Microsoft Server products and Azure Platform Technologies SQL Azure, Azure AD, Dynamics 365, and Azure Platform Technologies (2+years) 6+ years of experience building and delivering large-scale, high performance, scalable systems and services Proficiency with Microsoft Power BI Demonstrated experience generating