Data Analyst for the CDC Foundation working on overdose surveillance and prevention data analysis. Collaborating with CDC and local authorities to support public health initiatives.
About the role
- Senior Quantitative Analyst managing evaluations of customer programs to shape California energy policies. Collaborating with teams to enhance program performance and inform regulatory decisions.
Responsibilities
- Lead studies to evaluate performance of PG&E’s demand-side management programs and customer experience; manage external consultants to execute the studies
- Provide analytical support and recommendations for energy policy
- Perform statistical analyses of utility customer data to inform program design and/or operations, including supporting the development of PG&E’s energy program enrollment forecast
- Communicate measurement and evaluation findings to internal and external stakeholders to support regulatory proceedings
- Interface with internal and external stakeholders to understand business and regulatory needs, define the corresponding measurement and evaluation deliverables to meet these needs, and support the integration of research findings into program design and operations
- Run cost effectiveness calculation for PG&E’s demand response programs
Requirements
- Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business, or equivalent field
- 4 years related experience (i.e., data analysis and interpretation, research methods, applied statistics/econometrics, or energy program evaluation) OR Master’s Degree and 3 years job-related work experience OR Doctorate and 1 year of work experience
- Knowledge of utility operations; California load management programs and policies
- Excellent communication skills. Ability to convey complex or technical information clearly, concisely, and accurately to a wide range of audience
- Ability to influence leadership through data analysis, insights, and recommendations
- Demonstrated ability to apply complex statistical methods, engineering or econometric modeling using large data sets
- Ability to lead and manage projects and project teams; ability to scope and manage third-party consultant contracts
- Familiarity with Demand Response Impact Evaluation Protocols
- Experience in running CPUC-approved Demand Response Avoided Cost Calculator
- Experience reviewing and commenting on technical reports and regulatory documents
- Excellent problem-solving skills
Benefits
- Eligible to participate in PG&E’s discretionary incentive compensation programs
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