Hierarchy: No - We can only hire at the posted level
Union Position: Non-Bargaining
Summary
Under general direction, works on problems of diverse scope and complexity where analysis of data requires evaluation of identifiable factors. Develop models to quantify and optimize the risk associated with the gas and electric distribution systems based on probabilistic, financial and engineering analysis. May provide technical direction to less experienced team members. Optimizing risk includes, but is not limited to, determining impacts to system reliability, operational performance, environment, jurisdictional and business financial performance, system safety, legal and regulatory compliance, and brand impact.
Essential Responsibilities
- Develop complex models and metrics, as part of daily responsibilities, to quantify the risk associated with the distribution system operational and reinvestment options, based on probability statistical and engineering principles.
- Develop methodologies for incorporating risk metrics to support project funding decisions. Perform probabilistic risk analysis based on the developed models.
- Design and perform quantitative studies of historical and forecasted spends. Perform Post Project Effectiveness evaluations as part of the PDCA process.
- Use trends and analysis to recommend and support capital and O&M funding levels as part of the annual budget process.
- Continually define and coordinate existing and future data requirements for the analysis necessary to optimize distribution system risk.
- Communicate risk management processes, results and recommendations to management and employees to support the implementation of the Asset Management model.
Required
- High school diploma or equivalent
- Bachelor's degree in Computer Science, Statistics, Finance or Business (6 years experience in a related field may substitute for the degree)
- 5 years of risk modeling or related work experience
- Engineering/utility industry-knowledge of utility business operations maintenance, engineering and systems
- Quantitative/statistical modeling-ability to develop and analyze predictive models, forecasting, and simulation
- Ability to perform regression, correlation and trend analysis accounting/financial modeling-knowledge of accounting principles
- Ability to build financial models and to interpret financial statements
- Computer systems/information technology-advanced ability to use Excel (VBA), Access, MatLab, and other database programs and analytical tools
- Advanced ability to collect, extract, and manipulate complex data files
- Advanced knowledge of statistics and distribution risk modeling.
Requisition Number: 37660
Xcel Energy, Inc.
414 Nicollet Mall
Minneapolis
Minnesota United States
www.xcelenergy.com
