Mid Data Analyst - Oil, Fuels and Chemicals Market Insights

Are you passionate about using data to uncover trends and drive smarter decisions? Do you thrive in an environment where analytical skills meet real-world market dynamics? Join our team as a Data Analyst and play a key role in shaping insights for the ever-evolving oil, fuels, and chemicals market.

Requirements:

✅ Bachelor’s degree in Chemical Engineering, Mathematics, Economics, Data Science, or a related field.
✅ Minimum of 3 years of experience as a data analyst or similar role, preferably within the oil, gas, or commodities industry.

Technical Skills:

✅ Programming: Strong proficiency in Python (data manipulation, automation, and modeling) and SQL (data querying, transformations).
✅ Data Analysis & Visualization: Experience with Power BI, Tableau, Matplotlib, or Seaborn to create dashboards and analytical reports.
✅ Data Engineering: Familiarity with ETL processes, data pipelines, and data warehousing solutions.
✅ AI & Machine Learning: Knowledge of generative AI, prompt engineering, and machine learning techniques for energy market forecasting.
✅ Statistics & Forecasting: Strong grasp of statistical analysis, trend modeling, and forecasting methodologies.

Industry Knowledge:

✅ Familiarity with oil refining processes, fuel market economics, and industry regulations.
✅ Understanding of commodity markets, pricing mechanisms, and global energy trends.

Soft Skills & Work Approach:

✅ Strong analytical and problem-solving skills to interpret large datasets and identify meaningful patterns.
✅ Excellent communication skills to present complex data insights in a clear and impactful way.
✅ Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced environment.
✅ A collaborative mindset to engage with cross-functional teams and global experts in commodity markets.
✅ Attention to detail and a commitment to maintaining data accuracy and integrity.

Bonus Points

🔹 Experience working in a refinery, chemical industry, or energy trading environment.
🔹 Hands-on experience with machine learning deployment in a business setting.
🔹 Understanding of big data technologies (Spark, Hadoop) and cloud-based data platforms (AWS, Azure, GCP).
🔹 Advanced expertise in statistical modeling, regression analysis, and time-series forecasting.

🚀 100% Remote
💡 Remuneration in dollars
📊 Stability and growth opportunities 

If you’re ready to turn data into game-changing insights, we want to hear from you! Apply today and help shape the future of the energy market.