PUR

Climate Tech

Data&GISAnalyst

$36000–54000k ~AI est. Bogota, Distrito Capital de Bogotá, Colombia; Lima, Perú FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for entry candidates.

The Brief

“Data & GIS Analyst at PUR. Skills: Data analysis, GIS analysis. Code data collection forms. Code dashboards”

Industry & Context.

Climate Tech
Problems you'll solve

Troubleshooting; Analytical thinking

What They're Looking For.

Must Have

Degree in computer science, Degree in geography, Degree in environmental engineering, 2 years of experience in Data Analyst, 2 years of experience in GIS Analyst, Working knowledge of SQL, Working knowledge of Python, Working knowledge of Data Visualization, Working knowledge of geospatial software, Working knowledge of mapping software, Fluent in English

Nice to Have

Working with Jupyter Notebooks, Knowledge of causal analysis, Experience with Digital Products, French language

What You'll Do.

Code data collection forms

Train teams on tool usage

Train teams on data collection

Do exploratory analysis

Transform trends into methodologies

Provide insights into effectiveness

Create visualizations for data

Gather secondary data

Advocate for Data Department

Communicate insights to Central Data

Communicate local regulations to Central Data

Communicate local datasets to Central Data

Analyze land use change

Support inventories design

Ensure Geospatial Database quality

Produce maps for Project team

Produce maps for farmers

Understand performance

Increase efficiencies

Conduct studies using baseline

Support Feasibility team with analysis

Guide decision making

Write reports on findings

Produce Force Majeure reports

Complement methodology with datasets

Complement data library with datasets

Produce documentation on analyses

How You'll Work.

Team & Collaboration

Operational teams; Technicians; Central Data Team; Geospatial Analysts; Data Engineers; Project team; Farmers

Communication Scope

Written communication; Verbal communication

Full Job Description

Job title: Data & GIS Analyst Location: Bogotá, Colombia o Lima, Perú Contract: Permanent, local and full-time Starting date: ASAP (July 1, 2026) PUR Description PUR is a global, impact-focused B-Corp specializing in the development of environmental restoration projects, known as 'nature-based solutions' (NbS). Since 2008, we have been helping the world’s largest organizations meet their ESG targets, reduce their environmental footprint, and regenerate the ecosystems they depend on across complex supply chains. Having developed over 45 projects in more than 30 countries, PUR is recognized as both a pioneer and leader in a sector that is now at the forefront of global efforts to address the ongoing climate and biodiversity crisis. At the heart of our mission is a commitment to fostering and operationalizing insetting strategies—interventions by companies within their own value chains designed to reduce GHG emissions while creating positive impacts for communities, landscapes, and ecosystems. By championing this insetting approach, we aim to create a holistic range of benefits that extend beyond ecological restoration, encompassing social and economic dimensions through enhanced agricultural yields and resilience to climate change-induced stresses, among others. One of the distinctive features of our work is our ability to tailor projects to the specific needs of different regions and communities. By recognizing the unique characteristics of each ecosystem and the cultural context of the communities involved, we ensure our initiatives are contextually relevant and have a meaningful and sustainable impact. All our projects are developed in close collaboration with local actors, including cooperatives, NGOs, governments, and corporations. Today, we employ 200 staff across 16 countries with key offices in Paris (HQ) and Toronto. About the role The GIS & Data Analyst plays a key role in supporting both operational data systems and geospatial analyses across regional proje

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