Senior Portfolio Management Analyst
2 months ago
The Senior Analyst position will perform portfolio analysis associated with managing PG&E's commercial activities involving RA, energy, CRR, GHG, and LCFS procurement and support various compliance reporting obligations to the CPUC, CEC, CARB, and CAISO. The position must collaborate with internal and external partners to perform detailed analyses on one or more relevant compliance or procurement topics. Engage in commercial activities to ensure that sales/procurement meets various regulatory requirements at reasonable costs. The position will fulfill other duties as appropriate to any portion of the overall department.
This position is hybrid, working from your remote office and your assigned work location based on business need. The preferred work location is Oakland, CA.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed between the entry point and the middle of the range, the decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
A reasonable salary range is:
Bay Area Minimum: $105,000.00
Bay Area Maximum: $169,000.00
Job Responsibilities
- Design, implement, and maintain high-quality data infrastructure to support business needs.
- Software engineering experience building fault-tolerant, distributed, and scalable automation.
- Create efficient, scheduled ETL pipelines and stewarding technical standards and quality.
- Ability to lead sophisticated tasks such as development of forward electric position, development of procurement plans, or the evaluation of alternatives for mitigating PG&E's risk exposure at the wholesale energy portfolio level.
- Design, implement, and support a platform in providing access to large datasets.
- Recognize and adopt best practices in reporting and analysis: data integrity, analysis, validation, documentation, and testing.
- Support strategy development via analysis and quantitative measurement.
- Drives continuous improvement processes.
- Participate in PG&E management and regulatory approval process for specific transactions.
- Researches and communicates emerging regulatory or policy issues.
Qualifications
Minimum:
- Bachelor's Degree with coursework in energy and environmental science, computer science, mathematics, engineering, or equivalent field of study.
- Minimum 3 years of relevant job experience
Desired:
- Master's Degree
- Knowledge of wholesale energy markets, power/gas products (e.g., RA, Energy, GHG, CRR, LCFS), energy procurement contracts, energy trading, and regulations
- Familiarity with supply and demand side electricity markets including nuclear, hydro, fossil, solar, wind, energy storage, QF/CHP, biomass, GHG emissions and offsets, energy efficiency, demand response, and/or distributed generation.
- Advanced skill with MS Office Suite
- Programming capability, particularly in Python
- Developing analytics for optimizing operations in natural gas or electricity businesses.
- Researching and applying quantitative techniques in dealing with issues in natural gas or electricity businesses.
- Excellent knowledge of software engineering best practices (e.g. unit testing, code reviews, design documentation)
- Experience defining and implementing best practices and coding standard for ETL/ELT pipelines, frameworks.
- Experience with BI tools and Analytics Technologies (e.g. PowerBI preferred, Tableau, Looker)
- Database development experience and knowledge, with the ability to extract data from various sources (ie. SQL)
- Demonstrated experience with optimization techniques including linear programming and mixed-integer programming.
- Experience in applying these techniques to real-world problems, preferably in the context of the power market commitment and dispatch.
- Familiarity with formulating optimization problems and implementing strategies to solve them using Python (SciPy and Pyomo).
- Knowledge of various optimization algorithms and solvers, and the ability to select the most appropriate one for a given task.
Read the full posting.
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