Senior Engineer, Analytics

AES•Dayton, OH

2d•$113,000 - $141,525•Hybrid

About The Position

AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth of the CE portfolio and its growing data-related needs. This individual will play a pivotal role in ensuring AES CE’s operational excellence by expanding the availability of data and analytics to various stakeholders in the O&M team. The ideal candidate will be a self-starter with an ability to deliver creative, efficient solutions to challenging problems surrounding the growing operational dataset. At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today. AES’s mission is to improve lives by accelerating a safer and greener energy future. We are a global, agile, cohesive organization with an employee engagement level akin to a startup company. AES businesses throughout the world are often recognized as great places to work. Our people share a passion to help meet the world’s current and increasing energy needs, while providing communities and countries the opportunity for economic growth due to the availability of reliable, affordable electric power.

Requirements

Undergraduate degree in Engineering, Computer Science, or equivalent technical field and 5+ years of experience in an analytics-focused and/or engineering role
Advanced proficiency with R, Python, or SAS, as well as SQL
Advanced proficiency developing reports and dashboards in Power BI, Tableau, Qlik Sense or another BI software
Strong familiarity with DAS and SCADA systems and their data architectures
Experience with Google Cloud Platform, Big Query, or other cloud computing platforms
Experience designing and maintaining scalable data pipelines (ETL/ELT) and utilizing related tools (e.g., DBT, Prefect, Airflow)
Strong analytical thinking and problem-solving skills
Experience designing data models, analytics datasets, data products, or application layers
Experience building or owning production data pipelines, data platforms, or analytics systems
Ability to work effectively with Microsoft software programs, including-but-not-limited-to Excel, Outlook, Word, and PowerPoint
Excellent written and verbal communication skills
High degree of commitment to a quality safety culture and an incident-free work environment
Personal values consistent with those of the AES Corporation

Nice To Haves

Advanced degree in Engineering, Computer Science, Data Science, or equivalent
Experience with the technical aspects of Solar PV, Wind, and Energy Storage Systems
Experience with AI/ML-enabled analytics, including LLMs, RAG, and anomaly detection
Spanish language skills

Responsibilities

Designing, building and maintaining data warehouses, data cleansing processes, analytics dashboards, pipelines, and automated reporting solutions
Support high data quality, reliability, and availability across CEDAR and related automated workflows
Owning and administrating core data engineering and analytics platforms used by the Data Analytics team
Collaborating with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions
Working on AI/Machine Learning projects to improve the performance of the AES Clean Energy fleet of solar, wind, and energy storage assets
Work with AES Data Engineers to establish and maintain data warehouses to support the O&M team’s advanced analytics and reporting needs
Build scalable, automated reporting solutions to meet the growing compliance demands of the CE Asset Management group
Establish and monitor data quality frameworks, data governance, validation processes, and system performance metrics
Ensure scalable, reliable ingestion and processing of operational data from SCADA, DAS, and other external data sources to the GCP data lake
Participate in and lead AI/Machine Learning initiatives in collaboration with the AES Digital Team and O&M team stakeholders
Become an expert in AES Clean Energy’s DAS tools and propose ways to improve their data quality, overall function and utilization
Collaborate with the Analytics Engineering team to ensure data products are built on scalable, reliable infrastructure
Together with the CE Operations Technology and Data Engineering teams, work to deliver successful data pipelines from SCADA/DAS providers to data warehouses
Work cross functionally to create scalable data infrastructure and workflows
Provide technical support and maintenance of automated reporting systems utilized by the CE Asset Management group
As a subject matter expert, advise other team members across the organization on best practices for data-related projects
Participate in AES CE’s growth planning process by contributing to process improvement task forces and other strategic planning activities
Improve and develop processes for utilizing data to ensure the operation of safe, quality and high-performance projects
Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved