Senior Analyst, Asset Performance

Employer: Orsted North America Inc. Job Title: Senior Analyst, Asset Performance Location: 812 San Antonio Street, Suite 500, Austin, TX 78701 Duties Support the development of tools and effective data management used to analyze the performance of operating assets in the Americas region (onshore wind, solar, and battery storage), including visualizations, data blending, and data validations. Support the design and implementation of indices, key metrics, and data models to identify performance improvement opportunities. Develop the existing data platform to facilitate analysis with focus on anomaly detections as well as monitoring the performance of assets. Build high quality pipelines to collect, load, clean, and transform large datasets. Validate reporting provided by suppliers for adherence to contract requirements. Develop, report, and manage the implementation of new metrics, algorithms, and indicators for operating assets. Test and implement data sources used for analysis and reporting, including availability and quality assessments of data. Refine and optimize processes in relation to internal and external reporting deliverables. Collaborate with internal stakeholders to shape organizational views and decisions. Promote and support analytics improvements within the renewable industry by exchanging technical expertise, real-world challenges, and cutting‑edge methodology with other industry professionals. May telecommute but must reside near Austin, TX office. Requires up to 10% domestic and foreign travel. Requirements Master’s degree (or foreign equivalent) in industrial engineering, computer science, mathematics, or related field; plus 1 year (12 months) of experience in job offered or similar occupation in the energy industry. Bachelor’s degree and 3 years (36 months) of experience is acceptable in the alternative. Knowledge of renewable energy sector (wind, solar, storage, electricity markets, incentives, and regulatory framework), NERC compliance, statistical and machine learning models, OEM software, data modeling and performance analysis (input variable, back‑end data structures, front‑end reporting dashboards), monitoring asset performance (lost energy, curtailment impacts, turbine availability, and other KPIs for asset optimization), and ETL pipelines (SCADA data and meter data). Experience in BI dashboards (Power BI or Tableau), SQL databases (SQL queries, stored procedures, views, functions, etc.), Python (Pandas, NumPy, Matplotlib, GGplot, Scikit‑learn, etc.), version control tools (Git), Azure, and working in an Agile environment. #J-18808-Ljbffr