Disability Solutions - Phoenix, AZ
posted 3 months ago
The Analytics Engineer III at Republic Services, Inc. is a pivotal role responsible for designing, developing, maintaining, and continuously refining analytics and reporting solutions. This position plays a crucial part in the company's commitment to sustainability and operational efficiency by leveraging data to support decision-making processes. The Analytics Engineer III will be tasked with managing ETL processes, data warehouses, cubes, dashboards, and model deployment, ensuring that the data infrastructure is robust and reliable. This role requires a proactive approach to staying updated on the latest technologies and implementing proof-of-concepts to meet the evolving demands of internal customers. Additionally, the position involves developing technology roadmaps and maintaining comprehensive system and tool documentation to facilitate knowledge sharing and operational continuity. In this role, the Analytics Engineer III will lead projects, mentor junior developers, and educate users on data utilization and reporting tools. The responsibilities include designing, validating, and evaluating solutions using programming languages such as R, Python, and SQL. The engineer will also be responsible for creating pricing optimization algorithms and rules-based pricing recommendations tailored for both new and existing customers. A significant aspect of the job is to implement the architecture, tools, and processes necessary to provide a "single source of truth" for data-driven decision-making, enabling self-service capabilities for users across the organization. The Analytics Engineer III will develop and manage end-to-end project plans, ensuring timely delivery of analytics solutions. This includes writing ETL scripts using SQL Server Integration Services (SSIS) or similar tools to process new data into the data warehouse, designing automated processes that utilize Excel, SQL, and VBA for data transfer, and creating dashboards that allow users to interact with data effectively. Furthermore, the role involves implementing in-database machine learning solutions using SQL Server and R/Python, contributing to the company's innovative approach to data analytics and sustainability.