Lead Analyst – Data Analytics

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 47 U.S. states, Puerto Rico, Europe, and Mexico. The Partnership's midstream operations include an extensive network of approximately 9,500 miles of pipeline and over 100 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which serve approximately 10,000 convenience stores, independent dealers, commercial customers, and distributors. At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers. We are always looking for the best and brightest talent and we are committed to making your job a challenging and rewarding experience. Summary: As a Lead Analyst – Data Analytics, you will spearhead the development and deployment of advanced analytics solutions, including datasets, dashboards, predictive models, and data pipelines. You will collaborate closely with cross-functional teams to uncover opportunities for data-driven improvements and translate business requirements into actionable insights. As a Lead Analyst, you will provide mentorship and guidance for junior analysts and interns, fostering a culture of continuous learning and innovation. You will ensure data products are delivered with the highest quality, while promoting best practices in analytics workflows. Additionally, you will present findings and strategic recommendations to senior leadership, manage project deployment pipelines from development to production, and stay abreast of emerging trends and technologies to enhance the analytics function. At Sunoco LP, you’ll be part of a collaborative and innovative team that values data as a strategic asset. You’ll have the opportunity to work on meaningful projects, influence key business decisions, and grow your career in a dynamic industry. Essential Duties and Responsibilities: • Develop and refine datasets, reports, dashboards, models that drive strategic decision-making. • Manage project deployment pipelines, taking code from development environments to production. • Serve as a thought partner to your teammates, contributing to the team’s strong problem-solving orientation. • Collaborate with cross-functional partners to ensure your work is understood and supported across the organization. Requirements: 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 of Science (BS) degree in Analytics, Statistics or Computer Science (MS preferred) or equivalent work experience. • Proficiency in SQL and data manipulation languages. • Strong experience with data analysis packages for Python (pandas) or R (tidyverse). • Strong experience with machine learning packages for Python (scikit-learn) or R (tidymodels). • Familiarity with data visualization tools (e.g., Power BI, Tableau). • Familiarity with code-first data dashboard frameworks (e.g., Streamlit, Shiny). • Experience with version control systems such as Git. • Exceptional problem-solving skills and intellectual curiosity. • Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. • High level of accountability, initiative, and ownership. • Ability to thrive in a fast-paced, deadline-driven environment. 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% 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. "An equal opportunity employer/disability/vet The Partnership is an equal opportunity employer and does not discriminate against qualified applicants on the basis of any actual or perceived legally protected characteristics under federal, state, or local law. The nature and frequency of the above working conditions and requirements may vary depending on individual operational circumstances. Where feasible, the Partnership will make reasonable accommodations to qualified individuals with disabilities to enable them to perform the essential functions of the job. DISCLAIMER: The statements listed in this job posting, which are subject to change, are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified. "