Senior Asset Performance Analytics Lead

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

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.