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Mid Data Analyst - Oil, Fuels and Chemicals Market Insights

Remote: 
Full Remote
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Offer summary

Qualifications:

Bachelor’s degree in Chemical Engineering, Mathematics, Economics, Data Science, or a related field., Minimum of 3 years of experience as a data analyst, preferably in the oil, gas, or commodities industry., Strong proficiency in Python and SQL for data manipulation and querying., Experience with data visualization tools like Power BI or Tableau..

Key responsabilities:

  • Analyze large datasets to uncover trends and provide insights for the oil, fuels, and chemicals market.
  • Create dashboards and analytical reports to present data findings clearly.
  • Collaborate with cross-functional teams to drive data-driven decision-making.
  • Manage multiple projects and meet deadlines in a fast-paced environment.

Procalidad Analytics logo
Procalidad Analytics Information Technology & Services SME http://www.procalidad.com/
51 - 200 Employees
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Job description

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.


Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Forecasting
  • Communication
  • Analytical Thinking
  • Detail Oriented
  • Problem Solving

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