Senior Analyst, Asset Performance

Jobtailor; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in Austin, TX, seeks a data analytics professional to support performance analysis of operating assets across wind, solar, and storage. You will develop tools, dashboards, and data models to identify opportunities and drive data-driven decisions.

The role emphasizes ETL pipelines, data quality, anomaly detection, and collaboration with stakeholders. Proficiency in Power BI/Tableau, Python, SQL, and Azure, plus agile experience, is required.

Qualifications

• Master’s degree (or foreign equivalent) in industrial engineering, computer science, mathematics, or related field; plus 1 year of energy industry experience.
• Bachelor’s degree with 3 years of energy industry experience.
• Knowledge of renewable energy sector, wind, solar, storage, and electricity markets.
• 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 (KPI tracking).
• ETL pipelines (SCADA data and meter data).
• Experience in BI dashboards (Power BI or Tableau).
• SQL databases (queries, stored procedures, views, functions).
• Python (Pandas, NumPy, Matplotlib, Scikit‑learn).
• Version control tools (Git).
• Azure.
• Working in an Agile environment.

Responsibilities

• Support the development of tools and data management used to analyze asset performance in the Americas (wind, solar, storage).
• Support the design of indices, metrics, and data models to identify performance improvements.
• Develop the data platform for anomaly detection and asset monitoring.
• Build high‑quality ETL pipelines to collect, clean, and transform large datasets.
• Validate supplier reporting for contract compliance.
• Develop and implement new metrics, algorithms, and indicators for operating assets.
• Test and implement data sources for analysis and reporting, including data quality checks.
• Refine processes for internal and external reporting deliverables.
• Collaborate with stakeholders to shape organizational views and decisions.
• Share analytics improvements with other industry professionals.

Skills

Statistical ML concepts

Data modeling & performance analysis

Collaboration & communication

Education

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

Bachelor’s degree with 3 years in energy industry

Tools

Power BI

Tableau

Azure

Git

SQL databases

Python (Pandas/NumPy/Matplotlib/Scikit‑learn)

Job description

Responsibilities

• 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

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)
• 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
• Working in an Agile environment

Core Competencies

Demonstrates expertise in data management and performance analysis within the renewable energy sector, utilizing statistical and machine learning models to optimize asset performance. Proficient in developing ETL pipelines and BI dashboards to support data‑driven decision‑making.

Soft Skills

• Collaboration
• Communication
• Problem‑Solving

Certifications & Qualifications

• NERC Compliance

Tools & Technologies

• OEM Software
• Power BI
• Tableau
• Azure
• Git