We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Associate Analyst - Energy

Energy Transfer LP
United States, Kansas, Overland Park
Sep 11, 2024

Summary:

Responsible for developing and maintaining existing databases, assist with developing energy forecast models, provide management with accurate financial projections and identify future opportunities.

Essential Duties & Responsibilities:



  • Assist in the analysis, preparation, review and document the strategic, financial, resource and operations planning, and other scenarios as requested by management
  • Proficient in producing and analyzing all elements necessary for the development and analysis of the annual load forecast including the development of the annual peak demand and energy forecast
  • Work in conjunction with traders and analytics team to provide tools and valuations through quantitative risk analysis of the energy trading portfolio
  • Analyze weather, economic, and financial statistics, customer usage patterns and other various statistical information used in forecasting and analyzing rates, load forecasts and revenue forecasts
  • Update, review and support the financial model and maintain interfaces with fuel, revenue, operations and maintenance, plant and construction data interfaces
  • Provide support, analysis, and recommendations for traders
  • Develop and maintain analytical abilities to lead and/or support existing or new projects


Education and/or Experience, Knowledge, Skills & Abilities:

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:



  • Bachelor's degree in business analytics, data science, finance, accounting, engineering or other business related area.
  • 0-2 years of experience with a Bachelor's degree or equivalent work experience
  • Must have a thorough knowledge and demonstrated experience using Excel, Word, PowerPoint, Access, or similar software.
  • Demonstrated proficiency using R, Python, SQL, AWS, Power BI.
  • Financial modeling and forecasting experience.
  • Must possess excellent analytical, problem-solving, leadership and decision-making skills
  • Ability to properly access and prioritize multiple concurrent projects within deadline constraints
  • Experience with financial and operational analysis methodologies and statistics
  • Requires thoroughness, accuracy, excellent documentation skills, excellent oral and written communication skills, self-motivation and management skills, effective presentation skills and the ability to work in a team environment
  • Advanced knowledge of data management, including database and spreadsheet applications, with the ability to develop and use complex models or specialized computer applications
  • Ability to work in an entrepreneurial environment with a wide range of responsibilities
  • Proven ability to use analytical, statistical, and programming skills to collect and analyze large data sets


Preferred Skills:



  • Superior analytical and problem solving skills, strong interpersonal communications skills, facilitation, empowerment and motivational skills with the ability to thrive in an individual or team environment
  • Excellent verbal and written communication skills
  • Proven analytical skills and proficient computer applications knowledge
  • Must be dependable, self- motivated and able to work independently
  • Rational understanding for analytical computer programs and modeling tools preferred
  • Proven multi-tasking skills
  • Attention to details and timely completion of required tasks


Working Conditions:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.



  1. Normal office working conditions.
  2. Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.
  3. Occasional overnight travel may be required.
  4. Occasional visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment.

Applied = 0

(web-5fdf5b7fb4-dtl8q)