Senior Analyst, Asset Performance

Ørsted; San Antonio (TX); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Orsted North America Inc. is seeking a Senior Analyst, Asset Performance to advance data-driven insights for operating assets across the Americas. The role focuses on developing tools, data models, and dashboards to identify performance improvements in wind, solar, and storage projects.

The candidate will build robust data pipelines, validate supplier reporting, and drive anomaly detection to optimize asset availability and efficiency. Domestic travel up to 10% may be required.

Qualifications

• Master's degree in a related field and 1 year in energy or similar industry.
• Bachelor's degree with 3 years of relevant experience accepted as alternative.
• Knowledge of renewable energy sector, regulatory framework, and data modeling for asset performance.

Responsibilities

• Support development of data tools and effective data management for operating assets in Americas (wind, solar, storage).
• Design and implement indices, metrics, and data models to identify performance improvements.
• Develop data platform with focus on anomaly detection and asset performance monitoring.
• Build pipelines to collect, load, clean, and transform large datasets.
• Validate supplier reporting against contract requirements.
• Develop and manage new metrics, algorithms, and indicators for assets.
• Test data sources for analysis and reporting and assess data quality.
• Refine processes for internal and external reporting deliverables.
• Collaborate with stakeholders to shape organizational views and decisions.
• Promote analytics improvements within renewable industry by sharing expertise.

Skills

BI dashboards

SQL databases

Python

Git

Azure

Agile

Education

Master's degree in industrial engineering / computer science / mathematics or related field

Bachelor's degree with 3 years experience (alternative)

Tools

Power BI

Tableau

SQL

Pandas

NumPy

Matplotlib

Scikit-learn

Git

Azure

Job description

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.