Mid Data Analyst

hace 1 semana

Cl D d Bogotá Bogotá Colombia Realtime Analytics By Procalidad A tiempo completo US$80.000 - US$120.000 al año


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.

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