Republic Services - Phoenix, AZ

posted about 1 month ago

Full-time - Mid Level
Phoenix, AZ
10,001+ employees
Waste Management and Remediation Services

About the position

The Analytics Engineer II at Republic Services plays a crucial role in the design, development, maintenance, and continuous refinement of analytics and reporting solutions. This position is responsible for managing ETL processes, data warehouses, cubes, dashboards, and model deployment. The Analytics Engineer II is expected to stay current with the latest technology trends and implement proof-of-concepts to meet the evolving technology demands of internal customers. Additionally, this role involves maintaining comprehensive system and tool documentation to ensure clarity and accessibility for all stakeholders. In this position, the Analytics Engineer II will maintain and troubleshoot pricing optimization algorithms and rules-based pricing recommendations for both new and existing customers. Collaboration is key, as this role requires working closely with internal customers, analysts, developers, data scientists, and database administrators to provide essential data support for business metrics. The engineer will write ETL scripts using SQL Server Integration Services (SSIS) or similar tools to effectively consume and process new data into the data warehouse. Furthermore, they will design and build automated processes that utilize Excel, SQL, and VBA to facilitate seamless data transfer across teams. The role also includes designing dashboards and tools that enable users to interact with and consume data effectively. The Analytics Engineer II will implement in-database machine learning solutions using SQL Server and R/Python, ensuring the security and integrity of all data throughout the process. Troubleshooting and debugging issues will be a regular part of the job, along with performing other job-related duties as assigned or as they arise.

Responsibilities

  • Maintains and troubleshoots pricing optimization algorithms and rules based pricing recommendations for new and existing customers
  • Collaborates with internal customers, analysts, developers, data scientists, and database administrators
  • Provides underlying data support for business metrics
  • 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
  • Ensures security and integrity across all data
  • Troubleshoots and debugs issues
  • Performs other job-related duties as assigned or apparent

Requirements

  • Master's degree
  • 4 years of demonstrated experience working with relational databases in the context of developing ETL processes and implementing data and analytics solutions
  • 4 years of experience maintaining databases and tools in a production environment including query performance tuning and proactive maintenance
  • Experience with cloud computing environments (e.g. AWS)
  • Demonstrated experience working with a formal software development methodology
  • Experience developing and maintaining pricing optimization and rules based algorithms
  • Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering)
  • 4 years of experience with advanced programming in SQL and R or Python, deploying analytics models and tools in a production environment with relational databases

Nice-to-haves

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

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)
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