Analytics Engineer III

POSITION SUMMARY: The Analytics Engineer III designs, develops, maintains, and continuously refines analytics and reporting solutions.  This position is responsible for ETL processes, data warehouses, cubes, dashboards, and model deployment. The Analytics Engineer III leads projects, mentors developers, and educates users.  The Analytics Engineer III stays up-to-date on the latest technology and implements proof-of-concepts to stay ahead of the technology demands of internal customers.  This position will develop technology road maps and maintain system and tool documentation.

PRINCIPAL RESPONSIBILITIES: 

• Designs, validates and evaluates solutions using Python, SQL and other programming tools.
• Designs and builds analytical solutions for customer analytics, sales analytics
• Designs and implements the architecture, tools, and processes needed to provide the “single source of truth” to support data-driven decision making, and self-service.
• Develops and manages end-to-end project plans and ensure on-time delivery.
• Educates and mentors team members on data, reports, and tools.
• Writes ETL scripts using SQL Server Integration Services (SSIS) or similar tools to consume and process new data into the data warehouse.
• Designs and builds automated processes that leverage Excel, SQL and VBA to facilitate data transfer across teams
• Designs dashboards and tools to allow users to consume and interact with data.
• Implements in-database machine learning solutions using SQL Server and R/Python.
• Performs other job-related duties as assigned or apparent.
• Preferred: Experience in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents, while embedding Responsible AI practices across model development, deployment, and governance

KNOWLEDGE / SKILLS / ABILITIES:

• Proficiency with relational databases and the ability to write SQL queries.
• Proficiency with programming in Python in data science and/or engineering settings.
• Proficiency with Excel and PowerBI.
• Proficiency with source control (e.g. Github,) in a multi-developer environment.
• Proficiency with cloud computing environments (e.g. AWS).

QUALIFICATIONS: 

• Master’s degree.
• 5 years of demonstrated experience working with relational databases in the context or developing ETL processes and implementing data and analytics solutions.
• 5 years of experience maintaining databases and tools in a production environment including query performance tuning and proactive maintenance.
• Demonstrated expertise working with formal software development methodologies.
• Demonstrated expertise developing and maintaining pricing optimization and/or operational efficiency algorithms in a cloud computing environment (e.g. AWS) and or/enterprise IT environments.

MINIMUM QUALIFICATIONS: 

• Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics).
• 5 years of experience with advanced programing in SQL and R or Python, deploying analytics models and tools in a production environment with relational databases.

Rewarding Compensation and Benefits

Eligible employees can elect to participate in:
• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts. 
• Short- and long-term disability.
• Life insurance and accidental death & dismemberment insurance.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Employee Stock Purchase Plan (ESPP).

• Paid Time Off (PTO)

• Benefits: https://jobs.republicservices.com/us/en/about-us/benefits

The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumb