Renewables Data & AI Performance Analyst

TOTAL Deutschland GmbH; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous PTO

Medical

Dental & vision care

HSA with company contributions

Health FSA

Commuter benefits or paid parking

401(k) plan with employer match

Education assistance

Fitness subsidy

Life & accident insurances

Parental leave

Job summary

TotalEnergies Renewables USA seeks a detail-oriented data analyst to drive performance insights for utility-scale assets (solar, wind, storage). You will collect and interpret data, build dashboards, and automate repetitive calculations using scalable platforms, enabling faster decision-making across operations.

The role requires hands-on experience with SQL, Python, and BI tools, plus familiarity with cloud platforms (AWS/Azure) and Databricks.

Qualifications

• Bachelor’s degree in engineering, computer science or related field.
• Familiarity with basic programming languages: C/C++, SQL, Python.

Responsibilities

• Analyze performance data for utility-scale renewables (solar, wind, storage) to identify trends.
• Automate data cleaning, dashboards and reports to improve operational efficiency.
• Develop AI-powered workflows and agentized automation for asset management processes.
• Collaborate with engineering, operations and IT to implement improvements.
• Maintain data quality checks and scalable data pipelines using Databricks.

Skills

Data analysis

SQL

Python

C/C++

Communication

Education

Bachelor’s degree in engineering, computer science or related field

Tools

Power BI

Tableau

Grafana

Databricks

AWS

Azure

Job description

TotalEnergies Renewables USA seeks a detail-oriented data analyst to drive performance insights for utility-scale assets (solar, wind, storage). You will collect and interpret data, build dashboards, and automate repetitive calculations using scalable platforms, enabling faster decision-making across operations.

The role requires hands-on experience with SQL, Python, and BI tools, plus familiarity with cloud platforms (AWS/Azure) and Databricks.