Meteorologist and Data Analyst Porto

Meteorologist and Data Analyst
Porto
Porto, Porto District, Portugal

Meteorologist and Data Analyst

COFCO International is a global
- business with a clear vision, strong values and a positive culture, focused on being a leader in the global grains, oilseeds and sugar supply chains. We provide the food the world needs in a responsible way. Headquartered in Geneva, Switzerland, we are ambitious, with the right structures and culture to meet the world's increasing and changing needs. With 11, 000+ people in 35 countries, our global portfolio includes assets across the Americas, Europe, Africa, Middle East, and Asia-Pacific. We trade with over 50 nations, while providing farmers unique direct access to the growing Chinese market.

Job Summary

This position is ideal for candidates with 2–4 years of experience in weather forecasting who are eager to apply their meteorological expertise and data analysis skills for making
- term to seasonal forecasts on a global scale. The successful candidate will analyze meteorological data and support the senior meteorologist in generating weather forecasts and preparing detailed outlook reports, while contributing to
- driven insights for operational and research projects. Foundational Python coding skills are essential.

Key Responsibilities

Weather Forecasting & Analysis:

• Generate accurate
  - term,
  - term, and seasonal weather predictions using existing numerical models and tools.
• Analyze synoptic and mesoscale weather patterns and teleconnections to provide operational insights.
• Prepare daily and weekly weather reports, summarizing key trends and risks.

Data Processing & Analysis:

• Perform basic Python-based analysis to interpret weather data and extract actionable insights.
• Support the development and enhancement of internal forecasting and verification tools and contribute to data pipeline maintenance.
• Collect and process meteorological datasets from diverse sources (e. g. , satellite data, weather stations, reanalysis datasets). Automate data collection and preprocessing tasks using Python.

Qualifications

Education:

Bachelor’s degree in meteorology, Atmospheric Sciences, or a related field. A master’s degree is a plus.

Experience:

• 2–4 years of experience in operational weather forecasting or applied meteorology.
• Familiarity with numerical weather prediction models (e. g. , GFS, ECMWF, CFS) and
  - scale meteorological datasets (e. g. , ERA5, CMIP).

Technical Skills:

• Knowledge of climate teleconnections (e. g. , ENSO, MJO, SAM, NAO) and their impacts is highly desirable.
• Foundational Python programming skills for data manipulation (e. g. , Pandas, Num
  Py) and visualization (e. g. , Matplotlib, Seaborn).
• Familiarity and experience with Machine Learning methods is an advantage.

Other Skills:

• Excellent analytical and
  - solving abilities.
• Strong communication skills for preparing reports and presenting findings.

COFCO International is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, age, national origin, disability status, protected veteran status or any other characteristic protected by law. www.cofcointernational.com