Business Analyst-Carrier

We are looking for a Business Analyst to join the AI & Analytics Product Management (Carrier Intelligence). This role participates as a member of a product team; delivering scalable AI & Analytics products to drive decision making across Carrier. The candidate needs to be a strong leader, dependable teammate, and a self-motivated data evangelist.• You are unconventionally curious, especially about how data can be used to optimize business opportunities.• You obsess the value of sound data architecture and evangelize the best practices and standards to support analytics solutions.• You are passionate about translating business requirements into data designs that drive the development of analytics tools and data products.• You are highly proficient in SQL, experienced in data design for analytics solutions and at home in a cloud based big data environment.• You thrive in an entrepreneurial environment, and you are excited by the challenge of building something from the ground up.• You ask questions, continually learn, and find opportunities to share your knowledge with others.

WHAT YOU WILL WORK ONKey responsibilities:• Manage the data analysis and design of analytics/AI products across a focused area of the Carrier’s business value streams to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals• Serve as a domain specialist on data and business processes within area of focus.• Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs.• Lead structured, end-to-end analysis to inform product strategy, data architecture and reporting decisions.• Analyze existing datasets and interfaces to understand and document current state data architectures.• Perform extensive data profiling to understand data behavior and business rules.• Thoroughly document business requirements, training material and business processes for both business and technical audiences.• Drive adoption of and socialize analytics/AI products with end users through user training.• Develop frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.• Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs demonstrating standard query syntax.