[Hiring] Analytics Engineer III @Republic Services

Role Description

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. This position will develop technology road maps and maintain system and tool documentation.

• Designs, validates and evaluates solutions using R, Python, SQL and other programming tools.
• Designs and builds pricing optimization algorithms and rules based pricing recommendations for new and existing customers.
• 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 ensures 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.

Qualifications

• Master’s degree.
• 5 years of demonstrated experience working with relational databases in the context of 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.

Requirements

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

Benefits

• 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).