Senior Trading Analytics & Modeling Analyst

Energy Transfer Partners, L.P.; Northern (KY); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k) match

Profit sharing

PTO

Abundant career opportunities

Job summary

Sunoco is seeking a data scientist to join a collaborative team supporting trading and analytical functions across physical and financial markets. You will design models, analyze large datasets, and build predictive tools to inform trading strategies and operations.

The role requires a BS in a related field and proven experience with Python, R, and SQL. You will translate business problems into analytical solutions, deliver actionable insights, and contribute to process improvements in a

Qualifications

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

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

Data science experience

Python

R

SQL

Education

BS in Finance/Business/Engineering

Tools

Python

R

SQL

Job description

Sunoco is seeking a data scientist to join a collaborative team supporting trading and analytical functions across physical and financial markets. You will design models, analyze large datasets, and build predictive tools to inform trading strategies and operations.

The role requires a BS in a related field and proven experience with Python, R, and SQL. You will translate business problems into analytical solutions, deliver actionable insights, and contribute to process improvements in a