Data Analyst - Remote in USA - 6 month contract

Skills Coalition; New York (NY); Remote; USD 80,000 - 110,000; Full time

Job summary

A leading company is hiring a Data Analyst for a remote position within their Oil, Fuels & Chemicals Market Insights team. The role involves creating advanced analytics to support decision-making in energy markets. Applicants should have a relevant degree and a passion for data-driven insights. This contract offers the potential for extension, making it an exciting opportunity to impact the energy industry.

Qualifications

• Bachelor’s in Chemical Engineering, Economics, Mathematics, or related field.
• 3+ years in a data analysis or modeling role with exposure to oil, gas, or refining.
• Proficiency in Python, SQL, and visualization tools.

Responsibilities

• Design and deploy models using Python and SQL to track energy trends.
• Integrate geopolitical and regulatory dynamics into models.
• Collaborate with analysts to ensure data quality and accuracy.

Skills

Data Analysis

Python

SQL

Visualization Tools

Generative AI

Communication

Education

Bachelor’s in Chemical Engineering

Bachelor’s in Economics

Bachelor’s in Mathematics

Tools

Power BI

Tableau

Matplotlib

Job description

Full time | The Skills Coalition | United States

Posted On 20/06/2025

Job Information

Work Experience 3 years+

City New York

Province New York

Postal Code 10001

Job Description

Contract Opportunity – Data Analyst (Remote, USA) | 6-Month Contract + Extension Potential

Are you a data-driven problem solver with a passion for energy markets? We’re hiring on behalf of a global leader in market intelligence for a Data Analyst to join their dynamic Oil, Fuels & Chemicals Market Insights team.

This is a fully remote, US-based position on an initial 6-month contract with strong potential for extension.

About the Role

In this high-impact role, you’ll work at the intersection of data science, energy economics, and global trends. You’ll partner closely with industry experts to build intelligent data models that decode margins, forecast shifts, and deliver insights across the oil and refining sectors.

What You’ll Be Doing

· Design and deploy advanced models using Python and SQL to track energy trends and market margins

· Integrate geopolitical, environmental, and regulatory dynamics into your models

· Leverage AI and prompt engineering to automate reporting and unlock deeper insights

· Collaborate with analysts to ensure clean, accurate, and real-world-reflective data

· Continuously improve tools through performance monitoring and innovation

· Dive into research that informs strategy, identifies competitors, and reveals market opportunities

Requirements

What You’ll Bring

· Bachelor’s in Chemical Engineering, Economics, Mathematics, or a related field

· 3+ years in a data analysis or modeling role—ideally with exposure to oil, gas, or refining

· Proficiency in Python, SQL, and visualization tools (Power BI, Tableau, or Matplotlib)

· Familiarity with generative AI and how to apply it to real-world data tasks

· Clear communication and a collaborative spirit across technical and commercial teams

Bonus Points For:

· Industry experience in refining, petrochemicals, or commodity markets

· Understanding of regulatory environments

· Knowledge of machine learning, forecasting, or big data tools

If you're ready to bring your analytical skills to a fast-paced, globally impactful environment—we’d love to hear from you. This is your chance to shape critical insights that power smarter decisions across the energy industry.

Apply now to make an impact from anywhere in the US!