Mid Data Analyst - Oil, Fuels and Chemicals

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April 25

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Real Time Analytics

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We are a company that provides consulting services, design and implementation of solutions in Big Data and Data Analytics, with more than 34 years of experience. We help our clients in their digital transformation journey in order to optimize their performance and be more competitive in their market, making better and faster decisions based on data, hand in hand with trained talent in different industries and cutting-edge technologies. We solve business problems through analytical models that make knowledge profitable and optimize digital transformation processes. We work with different technologies in which our team of specialists have the experience and certifications that allow us to analyze the different needs of clients, their technological preferences and propose solutions that maximize investments in analytical platforms. Similarly, we have strategic allies for specific projects for business issues that warrant it. We are your ideal ally in analytical business architecture processes!

51 - 200 employees

📋 Description

• Join as a Data Analyst and transform energy market data into actionable insights. • Use Python, AI, and analytics to decode trends in oil, fuels, and chemicals. • Drive impact with data-driven decision making.

🎯 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. • Strong proficiency in Python (data manipulation, automation, and modeling) and SQL (data querying, transformations). • Experience with Power BI, Tableau, Matplotlib, or Seaborn to create dashboards and analytical reports. • Familiarity with ETL processes, data pipelines, and data warehousing solutions. • Knowledge of generative AI, prompt engineering, and machine learning techniques for energy market forecasting. • Strong grasp of statistical analysis, trend modeling, and forecasting methodologies. • Familiarity with oil refining processes, fuel market economics, and industry regulations. • Understanding of commodity markets, pricing mechanisms, and global energy trends. • 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.

🏖️ Benefits

• 100% Remote • Remuneration in dollars • Stability and growth opportunities