Lead Data Analyst

Lead Data Analyst

Based in Peru or Colombia 

Full time and long term position, local contract

Travels : up to 15%

Beginning: ASAP

PUR Description

PUR is a global, impact-focused B-Corp specializing in supply chain sustainability. We design, develop, and implement nature-based solutions projects to help our corporate partners reduce their environmental footprint and meet their ESG targets. Many of PUR's projects fall within the categories of insetting, regenerative agriculture, agroforestry, forest conservation, and landscape restoration.

These projects aim to introduce more sustainable agricultural practices, regenerate and preserve ecosystems, and socially and economically empower local communities. Today, we employ 200 staff across 16 countries, with key offices in Paris (HQ) and Toronto.

Industry Description

PUR operates within the dynamic and rapidly evolving sector of environmental consultancy services and nature-based solutions (NbS) markets. The NbS market has recently gained traction as society recognizes the invaluable services provided by nature and the need to preserve, restore and harness these services to mitigate and adapt to environmental challenges. To be considered a nature-based solution, projects must address real societal challenges and offer strong environmental, economic and social benefits for local communities.

Market KPIs:

• If combined with deep decarbonisation efforts, NbS projects could provide up to 30% of the mitigation needed to limit global warming to 1.5ºC above pre-industrial levels by 2030 (World Economic Forum, 2023)

• NbS project credits make up the largest volumes of carbon credits available in the VCM (voluntary carbon markets ) with $9bn invested between 2020 and 2022 (Sylvera, 2023)

• 5,307 companies have set science-based targets - a 4.2x increase since 2022 – and a significant driver of demand within the NbS and VCM markets (SBTi, 2024)

The Lead Data Analyst will help us leverage our impact and our projects in the field.

As a key member of the Data team, you will manage the Data/GIS analysts in LATAM, helping structure their work, upskilling their analytical skills and analyzing the data collected from the field yourself, turning it into meaningful insights. You will be supported and connected to the other regional teams (Asia and Africa) and use the backbone structures the Central Data team in France creates with your inputs.

Your responsibilities will include in a non-exhaustive manner :

• Consolidate and analyze data to report on progress (monitoring);

• Do exploratory/causal analysis of the data we collect to find correlations and trends;

• Provide insights into planting and project effectiveness and create visualizations for the data;Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation;

• Gather secondary data that might be relevant for the exploratory analysis; communicate when this data provides good insight so it can be integrated into the data platform;

• Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation;

• Support the implementation of data collection projects’ activities;

• Organize work sprints following Agile and Scrum methodologies and manage a team of 3 Data/GIS analysts in LATAM.

Requirements

We are looking for a candidate with :

• A minimum of 3 years of experience in a Data Analyst / Data Scientist / Statistician position;

• Working knowledge of SQL and Python - working with Jupyter Notebook is a nice-to-have;

• Working knowledge of Data Visualization (Power BI);

• Knowledge of causal analysis is a differentiator and is a nice-to-have;

• Experience with Digital Products is a nice-to-have;

• Knowledge on Kobo/ODK/XLS form environment (Data collection tools);

• Experience with Jira is a nice-to-have;

• Team collaboration : Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally in an international environment;

• Understanding of data governance and best practices;

• Some experience in Sustainability or Impact (or at least a strong interest);

• Fluent in English;

• Flexible to travel on a need-basis according to the project you'll be responsible for (15% travel time maximum).