Data AnalystBased in Peru or Colombia Full time and long term position, local contractTravels : up to 10%Beginning: ASAPPUR DescriptionPUR 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 DescriptionPUR 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:<ul><li>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)</li><li>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)</li><li>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)</li></ul>The Data Analysts in regions help us ensure a smooth data collection experience for the Operational team and our Technicians. You will be fundamental coding data collection forms, being the first line of assistance to local teams when occasional bugs appear in the Data pipeline, and bringing insights on local behavior that we can study, integrate and eventually expand to other regions.   Your responsibilities will include in a non-exhaustive manner :<ul><li>Code data collection forms (frequent) and dashboards (occasionally) to help with decision-making.  </li></ul><ul><li>Train our Pur Ops team and the field technicians and partner on how to use our tools and how to better collect the information. </li></ul><ul><li>Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies  </li></ul><ul><li>Provide insights into planting and project effectiveness and create visualizations for the data. </li></ul><ul><li>Gather secondary data (e.g. : on geospatial details, land use, crops types, yields etc) that might be relevant for the exploratory analysis. </li></ul><ul><li>Advocate for the Data Department in your region while also communicating to Central Data good insight, local regulations and datasets so it can be integrated into the global data platform. </li></ul><ul><li>Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation, as well as technician and producer feedback. </li></ul><ul><li>Communicate with Data Team members in other regions proactively to find common needs between regions and synergies. </li></ul>We are looking for a candidate with :<ul><li>A minimum of 2 years of experience in a Data Analyst or Statistician position. </li><li>Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have. </li><li>Working knowledge of Data Visualization (if you have a repository or portfolio, please include the link in your application) </li><li>Knowledge of causal analysis is a differentiator and is a nice-to-have. </li><li>Experience with Digital Products is a nice-to-have. </li><li>Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally. </li><li>Understanding of data governance and best practices. </li><li>Some experience in Sustainability or Impact (or at least a strong interest), </li><li>Fluent in English. French is a differential. </li><li>This can be a fully remote position – as long as you’re based in Colombia / Peru and have availability to travel (Less than 10% of your workload) </li></ul>** CV must be sent in english

PUR Projet is a platform of social entrepreneurs driven by the same desire to assist companies to preserve the ecosystems their activities depend on, through an integrated approach to natural resource management. Integrating socio-environmental innovations at the heart of their supply chains and core values, PUR Projet builds bridges between conservation, ecosystem restoration and company management, which bring in many benefits from securing procurement to differentiation and increased recognition.

Trees and agroforestry are at the centre of PUR Projet’s activities. They provide multiple services and must be considered as an ally, a regulator and an opportunity to balance and regenerate our ecosystem.

"Trees provide unrivalled free ecosystem services; today, there is no other investment in the financial market that delivers as many benefits to all stakeholders. As for agroforestry, it stands at the crossroads between forest conservation and agricultural development and participates in the foundation of a circular economy."​ - Tristan Lecomte, Founder of PUR Projet.


Data Analyst

Data AnalystBased in Peru or Colombia&nbsp;Full time and long term position, local contractTravels : up to 10%Beginning: ASAPPUR DescriptionPUR 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 DescriptionPUR 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:<ul><li>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)</li><li>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)</li><li>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)</li></ul>The Data Analysts in regions help us ensure a smooth data collection experience for the Operational team and our Technicians. You will be fundamental coding data collection forms, being the first line of assistance to local teams when occasional bugs appear in the Data pipeline, and bringing insights on local behavior that we can study, integrate and eventually expand to other regions. &nbsp; Your responsibilities will include in a non-exhaustive manner :<ul><li>Code data collection forms (frequent) and dashboards (occasionally) to help with decision-making.&nbsp;&nbsp;</li></ul><ul><li>Train our Pur Ops team and the field technicians and partner on how to use our tools and how to better collect the information.&nbsp;</li></ul><ul><li>Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies&nbsp;&nbsp;</li></ul><ul><li>Provide insights into planting and project effectiveness and create visualizations for the data.&nbsp;</li></ul><ul><li>Gather secondary data (e.g. : on geospatial details, land use, crops types, yields etc) that might be relevant for the exploratory analysis.&nbsp;</li></ul><ul><li>Advocate for the Data Department in your region while also communicating to Central Data good insight, local regulations and datasets so it can be integrated into the global data platform.&nbsp;</li></ul><ul><li>Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation, as well as technician and producer feedback.&nbsp;</li></ul><ul><li>Communicate with Data Team members in other regions proactively to find common needs between regions and synergies.&nbsp;</li></ul>We are looking for a candidate with :<ul><li>A minimum of 2 years of experience in a Data Analyst or Statistician position.&nbsp;</li><li>Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have.&nbsp;</li><li>Working knowledge of Data Visualization (if you have a repository or portfolio, please include the link in your application)&nbsp;</li><li>Knowledge of causal analysis is a differentiator and is a nice-to-have.&nbsp;</li><li>Experience with Digital Products is a nice-to-have.&nbsp;</li><li>Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally.&nbsp;</li><li>Understanding of data governance and best practices.&nbsp;</li><li>Some experience in Sustainability or Impact (or at least a strong interest),&nbsp;</li><li>Fluent in English. French is a differential.&nbsp;</li><li>This can be a fully remote position – as long as you’re based in Colombia / Peru and have availability to travel (Less than 10% of your workload)&nbsp;</li></ul>** CV must be sent in english

Data Analyst

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PUR Projet

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