Analyst - Trading

Energy Transfer•Newtown Square, PA

About The Position

Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America’s energy. We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children’s Cancer Hospital, The Salvation Army, American Heart Association, Ronald McDonald House and many more. We value all of our employees who make our growth and success possible. We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities. Come join our award winning 11,000 strong organization as we fuel the world and each other! Summary: Join a collaborative and innovative team of entrepreneurial individuals transacting in both physical and financial markets with a common goal to supply customers with low-cost products and generate EBITDA in a challenging, fast paced environment.

Requirements

BS degree in Finance/Business/Engineering or other related discipline
Proven experience as a data scientist
Knowledge of Python, R, SQL or other related coding platforms
Strong math skills
Excellent communication skills
The Specialist/Analyst level requires a Bachelor’s degree and 2-5 years of relevant job related experience
The Senior Specialist/Analyst level requires a Bachelor’s degree and 5-8 years of relevant job related experience
The Lead Specialist/Analyst level requires a Bachelor’s degree and 8+ years of relevant job related experience

Responsibilities

Provide day to day support to Sunoco’s trading team and associated support functions.
Monitor and evaluate Supply/demand factors.
Maintain Supply/demand balances for global, domestic, and regional markets
Design and implement analytical tools and models to solve complex problems
Analyze large data sets to recognize trends and patterns
Build predictive models and algorithms using coding software such as Python
Use self-constructed models to propose solutions and strategies to internal business challenges