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Lead Data Analyst ASIA - Jakarta or Bangkok

PUR

Daerah Khusus Ibukota Jakarta

Remote

IDR 200.000.000 - 300.000.000

Full time

Today
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Job summary

A global environmental consultancy is seeking a Lead Data Analyst based in Indonesia or Thailand. The role focuses on defining data pipelines, improving data quality, and providing insights for nature-based solutions projects. Candidates must have at least 3 years of data analysis experience, knowledge of SQL and Python, and fluency in English. This position can be fully remote, with expected trips to Jakarta or Bangkok as needed.

Qualifications

  • Minimum 3 years of experience in Data Analyst / Data Scientist.
  • At least 1 year managing remote teams.
  • Ability to communicate with technical and non-technical teams.

Responsibilities

  • Conduct exploratory analysis of collected data.
  • Provide insights and visualizations for project effectiveness.
  • Mentor and support team career development.

Skills

SQL
Python
Data Visualization
Communication in English
Team Management

Tools

Jupyter Notebooks
Jira
Job description
Overview

Lead Data AnalystASIA

Based in Indonesia or Thailand

Full time position, local contract

Beginning: ASAP 2025

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.

www.pur.co

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:

  • NbS projects could provide up to 30% of the mitigation needed to limit global warming to 1.5ºC by 2030 (World Economic Forum, 2023)
  • NbS project credits make up the largest volumes of carbon credits in the VCM with $9bn invested between 2020 and 2022 (Sylvera, 2023)
  • 5,307 companies have set science-based targets, driving demand within NbS and VCM markets (SBTi, 2024)

PUR is looking for a Lead Data Analyst ASIA to be based in Indonesia OR Thailand.

The Lead Data Analyst will help define data pipelines and architecture alongside the Data Engineers and use our data to gain insights on our Nature/Technology Based Solutions (NBS/TBS). The role focuses on improving Data Quality, identifying patterns to support data-driven decisions at the company level, and synthesizing work on dashboards to accelerate PUR’s growth. You will ensure the data stack captures, stores, and processes field reality effectively. The focus is to build and release tools used by all teams, the Executive Committee, and some external stakeholders to enable data-informed decisions and insights.

Responsibilities
  • Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies
  • Provide insights into planting and project effectiveness and create visualizations for the data.
  • Gather secondary data that might be relevant for 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
  • Define, with the support of the Central Data Team, NBS performance indicators, sharing strategic and tactical recommendations
  • Conduct planning and work sprints following Agile and Scrum methodologies, managing and prioritizing Project Team requests in harmony with the Central Data Team
  • Mentoring and supporting the team’s career development, helping them grow technically, training the regional Data Team on Data Analysis topics and acting as a link between Central Data and the Asian Regional Project Team
  • Communicate with Data Team members in other regions proactively to find common needs between regions and synergies
  • Provide training in the field (rarely: 1-2x a year max) to our technicians and data collectors
Qualifications
  • A minimum of 3 years of experience in a Data Analyst / Data Scientist / Statistician position.
  • A minimum of 1 year managing full remote teams.
  • Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have.
  • Working knowledge of Data Visualization (include a portfolio link if available).
  • Ability to break work into technical tasks to accomplish a user story or technical requirement – experience with Jira is a nice-to-have.
  • Capacity to communicate with both technical and non-technical teams in written and spoken English; other Asian languages preferred.
  • Understanding of data governance and best practices.
  • Some experience in Sustainability or Impact (or strong interest).
  • English fluency; any other Asian language will be preferred.
  • This can be a fully remote position – with regular office trips to Jakarta or Bangkok as needed. Traveling by plane may be necessary for occasional team visits; do not apply if you’re afraid of flying.
  • Knowledge of causal analysis is a differentiator and a nice-to-have.
  • Experience with Digital Products is a nice-to-have.
  • Indonesia or Thailand Citizenship
Steps to apply
  1. HR Interview
  2. Study Case along with Video Technical Interview with Data Product Manager
  3. Final Interview with Chief Data Officer
  4. Reference Check
  5. Interview with Country Manager/Regional Manager Asia (Tentative)
  6. Offer
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