12700 - Data Analyst Specialist – Climate Service at CMCC Foundation
Caserta, Campania, Italy -
Full Time


Start Date

Immediate

Expiry Date

04 Jun, 25

Salary

0.0

Posted On

05 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Responsive Design, Sql, Html5, Php, Computer Science, Meteorology, Climate, Netcdf, Python, Physics, Operating Systems, Written Communication, Statistics, Bootstrap, English, Spatial Analysis, Processing, Object Oriented Programming

Industry

Information Technology/IT

Description

WHAT WE ARE LOOKING FOR

We are looking for up to three Data Analyst Specialists in Climate Services to join our REMHI division in Caserta and work closely with the Climate Service research unit.
If you are passionate about data-driven climate solutions, have expertise in GIS, Python, and climate data analysis, and want to develop innovative tools for climate hazard and risk assessment, this role is for you. You will collaborate in an interdisciplinary, international environment, transforming complex climate data into actionable information for decision making for sectors like energy, infrastructure, and water resources.

ABOUT US

CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change. CMCC’s core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling.
CMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents, and strive to create a workplace where everyone can excel.
At CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed.
Over the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC’s global position in climate change research…Together!

REQUIREMENTS

  • M.Sc. degree (or equivalent) in Meteorology and Physics of the Atmosphere or Physics, Engineering, Earth Sciences, Computer Science, or related field
  • Proficiency in processing and analyzing multiple types of data (weather, climate,EO etc..), with background in spatial analysis and statistics
  • demonstrated experience in programming with Python and knowledge of Python scientific libraries and tools (i.e., xarray, numpy, pandas, matplotlib, Jupyter notebooks);
  • Expert knowledge GIS platforms (ArcGIS, QGIS)
  • Knowledge of relevant standards and formats (GeoTIFF, NetCDF, HDF)
  • Experience with climate data management programs such as CDO (Climate Data Operators) and NCO (NetCDF Operators).
  • Experience with data visualization tools (also web tool)
  • knowledge of the most common S.O. such as Linux and Windows operating systems, with the ability to work across different platforms.
  • Experience in writing technical/scientific documentation, including project reports and research papers.
  • Excellent problem-solving and troubleshooting skills.
  • Proficient verbal and written communication in English.

ADDITIONAL SKILLS

  • Proficiency in database management and SQL
  • Good Knowledge of HTML5 and CSS3, Responsive design with Bootstrap 5, Modern CSS frameworks
  • Good Knowledge of PHP and object-oriented programming, Laravel framework and its main features
Responsibilities

ROLE

This role offers an exciting opportunity to contribute to cutting-edge research and development projects, supporting the Climate service research unit that addresses climate change challenges by bridging research and end users. It leverages data from weather-and climate models, observations to quantify hazards in climate risk analysis processes for key sectors such as energy, infrastructure, and water, in collaboration with other divisions of the institute ICR. CS’s mission is to provide tailored support, linking climate data, potential impacts, and areas of interest to facilitate informed decision-making.

RESPONSIBILITIES

The Data Analyst Specialists-Climate Service will support the Regional Models and Geo-Hydrological Impacts (REMHI) division, with:

  • Data Processing & Analysis: Handle and analyze diverse datasets, including weather, climate, and Earth Observation (EO) data, utilizing advanced computational techniques and tools.
  • Climate Services Innovation: Design, develop, and implement next-generation climate services by integrating advanced modeling techniques, machine learning, and EO data. These services will enhance climate risk assessment capabilities and support decision-making processes across multiple sectors.
  • Dataclime Platform Development: Contribute to the continuous enhancement of Dataclime, expanding its functionalities to improve user experience, data accessibility, and analytical capabilities. This includes integrating new climate indicators, refining visualization tools, and ensuring seamless interaction between datasets and stakeholders.
  • Interdisciplinary Collaboration: Work closely with international and interdisciplinary scientific communities to develop novel data-driven applications that address climate change challenges.
  • Scientific Communication: Prepare technical and scientific reports, contribute to peer-reviewed publications, and present research findings at conferences and workshops.
  • Research & Development: Engage in collaborative research projects with universities, research institutes, and government agencies, driving innovation in climate risk assessment.
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