Hybrid - must be in a commutable distance to Folsom, CA

Contract role through the end of 2025 with high probability of extension.

Key Responsibilities:

Automation:

• Develop and implement automated solutions for data quality management, validation, and visualization to enhance forecasting efficiency.
• Support technical data tasks for 2025 PMO projects, including:DAME – Imbalance reserve requirements.

Hybrid 2C – UAT, implementation, process documentation, and process flow.

Implementation:

• Assist with onboarding and implementation tasks required.
• Contribute to forecasting project testing, process documentation, and updates to procedure diagrams.
• Collaborate on new and existing business processes by supporting standards, controls, and improvements.

Data Monitoring and Support:

• Monitor and maintain critical data inputs for forecasting systems.
• Research, analyze, and resolve disputes, defects, and enhancement requests.
• Provide support for Variable Energy Resources (VER) registration, including:Reviewing PI tag information during onboarding.

Communicating with stakeholders to resolve issues and provide updates.

Additional Responsibilities:

• Administer daily production activities related to renewable resources registration.
• Coordinate forecasting project development, testing, and deployment activities.
• Maintain and organize databases for historic and real-time data (e.g., loads, weather, renewable resources, outages, and economic data).
• Drive improvements to forecasting tools and resolve system defects.

Required Skills:

• Ability to thrive in a team-oriented environment with excellent interpersonal skills.
• Strong analytical and quantitative abilities with keen attention to detail.
• Self-motivated, proactive problem-solver capable of managing multiple projects independently.
• Exceptional organizational and time management skills.
• Strong decision-making, pattern recognition, and deductive reasoning skills.
• Proficiency in Microsoft Office Suite and programming in R, along with database management (SQL, MS-Access, MS-Excel).

Preferred Experience:

• Bachelor’s or Master’s degree in Statistics, Math, Computer Science, Data Science, Economics, Atmospheric Science/Meteorology, or related field.
• Knowledge or interest in demand, renewable energy forecasting (wind/solar), and DER.
• Background in data analytics, data warehousing, and querying.
• Experience with project coordination, development, and testing.
• Certifications in Project Management (PMP) or Lean Six Sigma are a plus.