Descrição

About greenmetrics.ai

greenmetrics.ai is a Lisbon-based startup at the forefront of climate adaptation and environmental sustainability. We develop cutting-edge technological solutions using smart sensors, IoT connectivity and data analytics to collect and process environmental data, enabling our users to improve resilience against extreme weather events like floods, droughts and biodiversity loss.

We envision a future in which technology and human ingenuity are allies of the natural world, a future where data guides us on the path to a more sustainable, balanced and resilient way of living, preserving the delicate balance of our planet for future generations.

We are a bootstrapped, independent, profitable startup, with proven technology and systems operating in +15 cities in Portugal. We are starting our international expansion to Europe, Brazil and Latin America and we need your contribution to help us accelerate towards our goals.

The Role

As a Data Analyst Intern, you’ll work closely with our analytics and strategic teams, collecting and examining environmental data, applying Python-based tools to uncover trends, and crafting compelling visualizations that drive effective climate adaptation strategies. You'll enjoy the freedom to propose creative data analytics approaches and generate actionable insights that help shape climate policies and develop state-of-the-art risk assessment tools.

Whether you’re developing data-driven solutions to tackle climate challenges, scaling our current analytics capabilities, or pioneering fresh visualization strategies, your work will deepen our understanding of climate change and enhance our ability to navigate an increasingly uncertain world. Join us, and be a catalyst for change as we empower communities to make informed, impactful decisions for a sustainable future.

• You will be responsible for:
• Implementing innovative data analytics frameworks that account for future climate scenarios to conduct climate vulnerability analyses and improve adaptation efforts.
• Collecting data from environmental datasets to perform climate resilience assessments.
• Performing comprehensive analyses to identify patterns, trends and correlations using statistical methods and Python libraries and tools.
• Creating visualizations to communicate assessment results and conclusions effectively.
• Participating in strategic projects that influence the definition of adaptation actions.
• Documenting findings and conclusions through structured reports.
• Supporting the development of data visualization platforms and tools.

• Your profile:
• A strong background in Data Analytics, Data Engineering or any related field that provides a solid foundation for the role's responsibilities.
• Proven practical experience working with data analytics or data engineering in previous positions or personal projects.
• Proficiency with Python libraries and tools (e.g. Jupyter notebooks, NumPy, Plotly, Pandas) to explore, transform and load datasets and develop analyses.
• A proactive and resourceful attitude to engage with stakeholders in obtaining new datasets.
• Comfort in obtaining data from API sources and working with Git for version control.
• Excellent capacity to communicate complex data insights verbally and in writing in Portuguese and English.
• Experience using GIS or GeoPandas for geospatial data analysis is a plus.

• Learning Outcomes:
• Gain hands-on experience in developing and applying data analytics frameworks within the climate tech sector.
• Enhance your ability to perform detailed data analyses and create visualizations that effectively communicate complex insights.
• Develop a strong understanding of climate vulnerability assessments and resilience strategies through real-world projects.
• Build proficiency in using advanced Python libraries and tools for data analysis and visualization.
• Strengthen your collaborative skills by working alongside experts in data science and climate research on impactful projects.

Position Details:

Workload: Full-time Paid Internship

Duration: 6 months

Preferred Model: Hybrid

Application Start: 07/feb

Application Deadline: 28/feb

Planned Start Date: 10/mar

Application Process:

• No need to prepare a cover letter for this application but we will need a couple of things from you:
• Linkedin profile
• Updated CV
• Answers to 5 application questions

We know you are busy and we respect your time, so we prepared a short application form with the purpose of knowing you better, understanding your skills, strengths and interests so we can guarantee that we’re a match!

We want to make sure that you will feel motivated and excited about taking