Pricing Analyst, ERCOT
Piper Maddox, Houston, TX, United States
The Power Analyst is primarily responsible for data collection, analysis, validation and pricing retail power transactions in the ERCOT market.
Job Responsibilities: Load/Retail Analysis
Work closely with the traders and originators on current and prospective deals
Review current and prospective customers' historical usage data and create own forecasts (access to vendor data) to estimate pricing and update hedging strategy.
Responsible for building models to develop and provide analytical studies on forward curves and/or cash Natural Gas prices (time series price history, volatility, and correlation).
Responsible for building and maintaining simple/complex Excel models to support pricing and structuring.
Responsible for an in-depth understanding of all pricing models, forecast models and any other applications of vendors.
Accountable for preparing and communicating executable and indicative pricing for Sales, timely and accurately.
Other Analysis
Independently prepare advanced ad-hoc analysis and reporting as needed to meet the needs of the Power Desk (e.g., regression, trend analysis, scenario analysis.)
Maintain a current commercial understanding of ERCOT rule structures and provide savings and impact analysis for Desk.
Communicate with Power Desk to regularly maintain dialogue and develop an expert understanding of market framework to determine how these variables will impact retail product pricing and contractual risk to organization.
Maintain a working knowledge of wholesale market fundamentals and possess the ability to explain historical trends to sales and/or customers if needed.
Requirements
Bachelor's degree from an accredited college/university or equivalent industry experience is required
3 or more years experience as Retail Pricing Analyst (strong Retail knowledge is required)
Ability to learn and understand key cost drivers and calculations, and how customer load data, inputs, and assumptions affect resulting cost components
Ability to model, run and analyze statistical and financial data
ERCOT experience
Preferably Quantitative experience (Regression, Forecasting, Statistics)
Analytical / programming skills (Python, VBA, Tableau)
Desire to work in a fast-paced business environment
#J-18808-Ljbffr
Job Responsibilities: Load/Retail Analysis
Work closely with the traders and originators on current and prospective deals
Review current and prospective customers' historical usage data and create own forecasts (access to vendor data) to estimate pricing and update hedging strategy.
Responsible for building models to develop and provide analytical studies on forward curves and/or cash Natural Gas prices (time series price history, volatility, and correlation).
Responsible for building and maintaining simple/complex Excel models to support pricing and structuring.
Responsible for an in-depth understanding of all pricing models, forecast models and any other applications of vendors.
Accountable for preparing and communicating executable and indicative pricing for Sales, timely and accurately.
Other Analysis
Independently prepare advanced ad-hoc analysis and reporting as needed to meet the needs of the Power Desk (e.g., regression, trend analysis, scenario analysis.)
Maintain a current commercial understanding of ERCOT rule structures and provide savings and impact analysis for Desk.
Communicate with Power Desk to regularly maintain dialogue and develop an expert understanding of market framework to determine how these variables will impact retail product pricing and contractual risk to organization.
Maintain a working knowledge of wholesale market fundamentals and possess the ability to explain historical trends to sales and/or customers if needed.
Requirements
Bachelor's degree from an accredited college/university or equivalent industry experience is required
3 or more years experience as Retail Pricing Analyst (strong Retail knowledge is required)
Ability to learn and understand key cost drivers and calculations, and how customer load data, inputs, and assumptions affect resulting cost components
Ability to model, run and analyze statistical and financial data
ERCOT experience
Preferably Quantitative experience (Regression, Forecasting, Statistics)
Analytical / programming skills (Python, VBA, Tableau)
Desire to work in a fast-paced business environment
#J-18808-Ljbffr