Analytics Engineer III

Republic Services

. Design, develop, maintain, and continuously refine analytics and reporting solutions .

Posted 10/26/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing analytics solutions, including ETL processes and pricing optimization algorithms, while leveraging advanced programming skills in SQL, R, and Python. Proficient in managing projects and mentoring teams to ensure effective data utilization and delivery.

Highest-signal resume keywords

ETL Process DevelopmentAdvanced SQL ProgrammingPricing Optimization AlgorithmsCloud Computing (AWS)Data Warehouse Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLRPythonETLData WarehousingPricing OptimizationData AnalyticsQuery Performance TuningMachine LearningExcel

Soft Skills

Team MentoringProject ManagementCommunication

Tools & Technologies

Power BISSISGitHubSVNTortoise

Certifications & Qualifications

Master’s DegreeBachelor’s Degree in Analytical Field

Industry Keywords

Data ScienceCloud ComputingSoftware Development MethodologiesOperational Efficiency

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLSSISSubversionVBA

About the role

Key responsibilities & impact

Design, develop, maintain, and continuously refine analytics and reporting solutions
Lead ETL processes, data warehouses, cubes, dashboards, and model deployment
Lead projects and develop technology road maps
Design, validate, and evaluate solutions using R, Python, SQL, and other programming tools
Design and build pricing optimization algorithms and rules-based pricing recommendations
Design and implement architecture, tools, and processes supporting a single source of truth and self-service analytics
Develop and manage end-to-end project plans to ensure on-time delivery
Educate and mentor team members on data, reports, and tools
Write ETL scripts using SSIS or similar tools to consume and process data into the data warehouse
Build automated processes using Excel, SQL, and VBA to facilitate data transfer across teams
Design dashboards and tools for users to consume and interact with data
Implement in-database machine learning solutions using SQL Server and R/Python
Maintain system and tool documentation
Perform other job-related duties as assigned

Requirements

What you’ll need

Master’s degree
Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering, Business Analytics)
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
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
Proficiency with relational databases and SQL queries
Proficiency with R or Python in data science and/or engineering settings
Proficiency with Excel and Power BI
Proficiency with source control (e.g. GitHub, SVN, Tortoise) in a multi-developer environment
Proficiency with cloud computing environments (e.g. AWS)

Benefits

Comp & perks

Comprehensive medical benefits coverage
Dental plans
Vision coverage
Health care and dependent care spending accounts
Short- and long-term disability
Life insurance
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)