Advanced Analytics & AI Consultant Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. PLEASE NOTE: This position is not eligible for current or future visa sponsorship. The Advanced Analytics & AI Consultant (Business Information Developer Consultant) will design and deliver scalable data and AI solutions that drive meaningful business decisions. In this role, you’ll work across the full analytics lifecycle—from data exploration and pipeline development to modeling and deployment—helping translate complex data into actionable insights. You will be responsible for developing and executing more complex data mining and advanced analytics solutions, including support for AI/ML-driven insights and decisioning. How You Will Make an Impact: Determines how decision support systems and AI-enabled solutions will provide the data required to make effective business decisions. Performs modeling of information sources, dataflows, and analytical pipelines. May coordinate the activities of a project team and monitor project schedules and costs for own projects. Create and maintain reporting and advanced analytical solutions leveraging enterprise data platforms. Ensure data quality, integrity, and alignment with enterprise data architecture. Develops and supports complex data warehouse-related and analytical applications, including scalable data pipelines and model ready datasets. The majority of time will be spent hands on coding, data analysis, and building reusable analytical/AI components. Provide training and guidance on analytics tools, models, and data products.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees