Analytics Consultant

RaceTrac Petroleum, Inc.; United States; On-site; USD 80,000 - 100,000; Full time

Job summary

RaceTrac Petroleum, Inc. is seeking an Analytics Consultant to act as a bridge between business needs and analytical solutions. The ideal candidate will lead analytical projects, ensuring data quality, conducting analysis, and delivering insights. Candidates should possess a Bachelor’s degree in a related field and 3–5 years of relevant experience.

The role involves collaboration with various stakeholders and providing mentorship to junior analysts, making it crucial for applicants to have strong analytical and problem-solving abilities.

Qualifications

• 3–5 years of experience in consulting, analytics, data science, or a related field.
• Proven success in delivering analytical projects.
• Strong analytical and problem-solving skills.
• Experience in business financial/statistical data analysis, preferably in retail.

Responsibilities

• Lead and execute analytical projects applying appropriate methodologies.
• Collaborate with business stakeholders to understand goals and analytical requirements.
• Demonstrate proficiency in data analysis tools and programming languages.
• Provide guidance and mentorship to junior analysts.

Skills

Analytical skills

Problem-solving skills

Consulting experience

Proficiency in SQL

Proficiency in Python

Proficiency in R

Experience in data visualization tools

Knowledge of Microsoft Power BI

Education

Bachelor’s degree in Business, Economics, Finance, Math, Computer Science, Statistics, or related field

Tools

Microsoft Excel

SAS

SPSS

Palantir

Job description

The Analytics Consultant is a key member of the Enterprise Strategic Analytics + Data Science team (ESADS), serving as a bridge between strategic business needs and analytical solutions. The role partners with business units and Analytics Partners to identify and address analytical opportunities, leveraging consulting and technical skills to design and deliver data‑driven insights that drive business growth and operational excellence.

What You’ll Do

• Analytical Project Execution: Lead and execute analytical projects, applying appropriate methodologies and techniques under the guidance of Analytics Partners. Conduct data exploration, cleaning, and preparation to ensure data quality and integrity. Develop and implement analytical models using statistical and machine learning techniques as needed. Generate actionable insights and recommendations based on data analysis. Communicate findings effectively to both technical and non‑technical audiences through clear visualizations and presentations. Actively participate in the implementation and deployment of analytical solutions.
• Strategic Partnership: Collaborate with business stakeholders and Analytics Partners to understand goals, challenges, and analytical requirements. Proactively identify opportunities to leverage analytics to drive business value and improve decision‑making. Translate business needs into well‑defined analytical projects, outlining scope, objectives, and success metrics. Conduct comprehensive business assessments and needs analyses to inform project prioritization and execution. Support Analytics Partners in developing strategic recommendations and roadmaps.
• Technical Expertise: Demonstrate proficiency in data analysis tools and programming languages such as SQL, Python, and R. Utilize data visualization tools to create clear and impactful presentations. Stay abreast of emerging analytical techniques and technologies. Troubleshoot and resolve technical issues related to data and analysis. Contribute to the development and maintenance of data pipelines and analytical infrastructure.
• Collaboration and Mentorship: Work closely with Data Scientists, Data Engineers, and other team members to deliver comprehensive solutions. Provide guidance and mentorship to junior analysts, fostering their development and growth. Contribute to a collaborative and knowledge‑sharing environment. Foster cross‑functional collaboration and alignment to ensure successful project outcomes.

What We’re Looking For

• Bachelor’s degree in Business, Economics, Finance, Math, Computer Science, Statistics, or a related field.
• 3–5 years of experience in consulting, analytics, data science, or a related field, with proven success in delivering analytical projects.
• Strong analytical and problem‑solving skills, and the ability to translate business problems into analytical frameworks.
• Proven experience in business analysis or financial/statistical data analysis, preferably in a retail environment.
• Proficiency in Microsoft Excel and knowledge of business‑intelligence tools such as Microsoft Power BI.
• Advanced knowledge of SQL, SAS, SPSS, Palantir, Python, and other relevant analytical software.
• Knowledge of syndicated data such as IRI and Nielsen is a plus.

All qualified applicants will receive consideration for employment with RaceTrac without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.