Asset Management Data Analyst
On-sitePineville, Louisiana, United States
Job Summary
Integrate plant operational and commercial data into business processes to optimize generation asset performance. Gather and analyze operational and commercial data to identify trends, patterns, and insights for monitoring plant performance and supporting maintenance decision-making. Develop and maintain dashboards and visualizations using BI tools to support operational performance and asset health monitoring. Collaborate with generation plant teams to model asset health metrics and KPIs that inform predictive maintenance and lifecycle strategies. Design and maintain data workflows and pipelines to ensure real-time availability of time series data from SCADA systems and IoT devices. Architect and utilize Azure-based data analytics platforms for scalable model development, including anomaly detection and digital twin simulations.
Required Qualifications
- Bachelor's degree in Information Systems, Data Analytics, Computer Science, Engineering, or a related field
- 3 - 8 years of experience in a data analytics or business intelligence role
- Hands-on experience with BI tools (e.g., Power BI, Tableau, Qlik, etc.)
- Proficiency in SQL
- Experience working with time series data from SCADA systems, IoT devices, or other industrial data sources
- Experience in data integration and workflow optimization, particularly in combining operational and business datasets
- Strong analytical and problem-solving skills
- Strong experience in generation / commercial operations
- Proficiency in data visualization tools (e.g., Power BI)
- Knowledge of data management practices and tools
- Excellent communication and presentation skills
- Ability to work collaboratively with cross-functional teams
- Strong organizational and project management skills
- Understanding of asset health metrics, predictive maintenance strategies, and their role in enhancing operational efficiency
- Familiarity with enterprise data concepts such as data governance, data quality, and data architecture
- Ability to translate complex data into insights that support asset health management and maintenance strategies
- Experience with Azure data science and big data services (such as Azure Databricks, Azure Machine Learning, Azure Data Lake) or similar cloud platforms (AWS/GCP)
Desired Qualifications
- Relevant certifications (e.g., Certified Business Analysis Professional (CBAP), Power BI Data Analyst Associate Certification)
- Experience with Azure-based data analytics platform for scalable model development and deployment
- Experience with AI/ML in asset management including anomaly detection methods and digital twin simulations
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