Sr Analyst - Trading

Socket.dev; Newtown Square (Delaware County); On-site; USD 110,000 - 170,000; Full time

Job summary

Energy Transfer seeks a data scientist to support Sunoko’s trading team, building models and analytical tools to optimize supply/demand decisions in global and regional markets.

The role requires a BS in a related field, proven data science experience, and programming in Python, R, or SQL, with strong math and communication abilities to explain insights across teams.

Qualifications

• BS degree in Finance/Business/Engineering or related discipline.
• Proven experience as a data scientist.
• Knowledge of Python, R, SQL or other related coding platforms.
• Strong math skills.
• Excellent communication skills.

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.

Skills

Strong math skills

Excellent communication skills

Education

BS degree in Finance/Business/Engineering or related discipline

Tools

Python

R

SQL

Job description

Energy Transfer, recognized by Forbes as oneof 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 includingMD Anderson Children’s Cancer Hospital, TheSalvation 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.

Core 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

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

Required experience is commensurate with the selected job level:

• 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

Working Conditions:

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

• Usually, normal office working conditions.
• Must be able to remain in a stationary position 50%25 of the time due to prolonged periods of sitting or standing.
• Occasional overnight travel may be required.
• 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.