Staff Data Analytics Engineer

Metro Water Recovery•Denver, CO

1d•Onsite

About The Position

Metro Water Recovery is seeking a data analytics professional to join their growing division within the Environmental Services department. This role supports environmental compliance, wastewater treatment operations, and regulatory reporting programs, offering the opportunity to have a real environmental impact within a complex technical environment. The position is situated within the Quality Assurance and Sampling Division, which has a culture of continuous improvement, accountability, collaboration, and fun, fostering teamwork, problem-solving, creativity, and personal growth. The Environmental Services Department is dynamic and diverse, including Pretreatment, Laboratory Services, Regulatory Compliance, and Water Quality Divisions.

Requirements

Strong understanding of SQL, data modeling, and cloud-based analytics platforms.
Intermediate knowledge of machine learning fundamentals and AI applications.
Knowledge of cloud-based platforms, process data historians, and data warehouses.
Knowledge of data blending, integration, and visualization tools.
Basic understanding of change management processes.
Knowledge of data governance concepts such as data ownership, lineage, or quality standards.
Skilled at working with both operational/process datasets or business/administrative datasets.
Proficiency in Power BI, Tableau, or PIVision, and overall dashboard development.
Experience working with APIs and integrating disparate data sources.
Proficiency in developing automation workflows using ETL tools (e.g., Alteryx, Python, R, etc.).
Microsoft Excel proficiency, including complex formulas, data validation, and macros.
Skilled at writing and maintaining comprehensive technical documentation.
Skilled at performing initial data validation and troubleshooting issues.
Ability to identify trends and insights from large datasets to support decision-making.
Ability to communicate technical findings effectively to stakeholders and non-technical staff.
Ability to work effectively in cross-functional teams.
Ability to learn and implement new technologies independently.
Ability to implement data integrity techniques for identifying outliers and anomalies.
Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, or related field from an accredited college or university. A combination of education and relevant experience may be considered in lieu of a degree.
Valid work authorization that does not require sponsorship of a visa for employment authorization in the U.S.

Nice To Haves

An understanding of the various software used in data analytics and an interest in learning new tools.
A structured and detailed-oriented approach to daily tasks, with an emphasis on thorough documentation.
Enjoy contributing to continuous/process improvement goals.
Work effectively across teams to meet the needs of various stakeholders.
Comfortable working in a fast-paced, dynamic environment while proactively managing deadlines and competing priorities.

Responsibilities

Develop, optimize, and maintain ETL (extract, transform, load) workflows for operations analytics, enterprise analytics, or other business intelligence functions.
Provide sustained analytics and reporting services supporting both wastewater operations and enterprise performance management needs including the automation of data collection, transformation, and reporting.
Assist in performing root cause analysis and identifying opportunities for improvement.
Build and maintain dashboards and reporting tools.
Sustain analytics products and dashboards beyond initial deployment, ensuring reliability, usability, and stakeholder adoption.
Implement intentional automation solutions to improve efficiency, reliability and decision making in alignment with Metro’s digital transformation goals.
Partner with internal and external stakeholders to translate strategic goals into reporting and analytics services.
Contribute to enterprise KPI development and performance benchmarking.
Ensure analytics programs remain effective and sustainable through ongoing maintenance, stakeholder support, and continuous improvement.
Participate in testing and validation of analytics solutions.
Write technical documentation for system processes, data integration, and report development.
May assist with mentoring junior staff on analytics practices.
Contribute to process improvement initiatives by providing data-driven insights.
Troubleshoot and debug complex data processing issues, finding solutions with minimal support.
Other duties as assigned.