Senior Analyst, Asset Performance

Orsted Asia Pacific; Austin (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Orsted North America Inc. is seeking a Senior Analyst, Asset Performance to support development of tools and data management for analyzing the performance of operating assets in the Americas (onshore wind, solar, and storage) and to enhance data platforms.

You will build data pipelines, implement metrics and models, and deliver dashboards using Power BI or Tableau, while collaborating with stakeholders to drive analytics improvements in the renewable sector.

Qualifications

• Master’s degree in industrial engineering, computer science, mathematics, or related field.
• 1 year of experience in the energy industry or similar occupation.
• Knowledge of renewable energy sector, NERC compliance, and data modeling.
• Experience with BI dashboards, SQL, Python, and Azure in Agile environments.

Responsibilities

• Support the development of tools and data management to analyze operating assets in the Americas.
• Design indices, metrics, and data models to identify performance improvements.
• Develop data platform and pipelines to handle large datasets and anomaly detection.
• Validate supplier reporting for contract adherence.
• Collaborate with stakeholders to shape organizational decisions.

Skills

Data visualization

Statistical modeling

Machine learning concepts

Agile experience

Education

Master’s degree in industrial engineering, computer science, mathematics, or related field

Bachelor’s degree + 3 years experience alternative

Tools

Power BI

Tableau

SQL

Python (Pandas, NumPy)

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 the 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.

Apply: https://us.orsted.com/careers