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. #J-18808-Ljbffr Analyst