Data Analyst – Sustainability & Business Intelligence

Posted 9 Days Ago
Be an Early Applicant
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
Hybrid
Junior
Greentech • Social Impact • Consulting • Agriculture
The Role
Analyze agricultural and forestry supply chain data, including traceability, supplier performance, environmental and social risk indicators, and sustainability KPIs. Clean, validate, consolidate, and manage datasets from multiple sources. Develop Power BI reports, dashboards, and visualizations; support client reporting, scorecards, and consultancy projects. Improve data quality controls, reporting workflows, and automation while collaborating with technical consultants, Finance, Operations, and global data management teams.
Summary Generated by Built In
Company Description

Proforest is a dynamic mission driven organisation with a global presence that has established itself as a leader in the development and implementation of sustainable production and sourcing of natural resources including a range of agricultural commodities. 
We work at every stage of the supply chain, from production and processing, through to purchasing and investment. Our 25 years of experience covers major commodities such as oil palm, soy, sugarcane, timber, pulp & paper, rubber and beef at a range of scales that include smallholders and local communities through multinational businesses. We focus on the opportunities for conservation and social benefits within the production landscape and never lose sight of the need for pragmatic and workable practices. More information on Proforest is available at www.proforest.net

Job Description

Key Responsibilities

1. Sustainability and Supply Chain Data Analysis

  • Collect, consolidate, properly format and analyse agricultural and forestry commodity supply chain datasets.
  • Support traceability analysis of suppliers, mills, refineries and sourcing locations; perform matching, duplicate checks and location verification.
  • Maintain accurate supply chain databases and analyse environmental and social risk indicators, supplier performance and responsible sourcing commitments.
  • Track sustainability targets and KPIs; identify trends, data gaps and opportunities for improvement.

2. Data Visualisation and Sustainability Reporting

  • Develop and maintain reports, charts and dashboards for consultancy projects and internal stakeholders.
  • Support Power BI visualisations for traceability, supplier performance, risk assessments and sustainability indicators.
  • Translate complex datasets into clear findings for technical and non-technical audiences.
  • Work with project teams to turn client reporting needs into data structures, analysis and visual outputs.

3. Data Management and Systems Improvement

  • Maintain and improve databases, data quality controls, documentation and reporting workflows.
  • Extract, clean & format and combine data from Excel, Smartsheet and other internal or external sources.
  • Support Smartsheet-to-Power BI reporting and identify opportunities to automate repetitive processing and reporting.
  • Work with Global Data Management teams on new procedural and process  development and roll out in region.

4. Technical Consultancy and Project Support

  • Collaborate with technical consultants to understand project objectives, client requirements and data needs.
  • Support supplier scorecards, performance indicators, risk summaries, client reports and presentations.
  • Respond to ad-hoc data requests and contribute to consistent analytical approaches across projects.

5. Business Intelligence and Internal Reporting

  • Support project performance, operational KPI and business reporting when required.
  • Collaborate with Finance, Operations and other teams to improve data collection, reporting and management dashboards.
  • Use appropriate AI where feasible to develop / enhance procedures and intelligence and data analysis.

Qualifications

Qualifications, Experience and Skills

Essential Requirements

  • Degree in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, Environmental Science, Geography, Geospatial Science, Sustainability, Business Analytics or a related field; equivalent practical experience considered.
  • 1–2 years of relevant hands-on experience in data analysis, data management, reporting or business intelligence.
  • Strong Microsoft Excel skills, including PivotTables, lookup functions, data cleaning and analysis.
  • Experience extracting, validating, cleaning and consolidating real-world datasets from multiple sources.
  • Understanding of data structures, data quality and basic analytical techniques; ability to investigate discrepancies and interpret results.
  • Clear English communication, attention to detail, problem-solving ability and effective collaboration.

Added Advantages

  • Hands-on Power BI experience, including Power Query, dashboards, data modelling or DAX.
  • Smartsheet experience in data collection, reporting, workflow management or integration.
  • Basic SQL or Python knowledge for data querying, cleaning, processing or automation.
  • Experience with sustainability, ESG, agricultural supply chains, supplier performance or traceability data.
  • GIS or spatial analysis exposure (e.g., ArcGIS or QGIS), and familiarity with deforestation or responsible sourcing indicators.
  • Experience supporting consultancy projects and client reporting.
  • Working knowledge of the various AI platforms such as Claude / ChatGPT etc

Additional Information

Benefits:

  • Flexible Work Arrangement
  • Insurance Coverage
  • Leave Entitlement
  • Technical & Travel Support
  • Wellbeing Support

Key information  

  • Location: Bangsar South, Kuala Lumpur, Malaysia
  • Expected Start Date: January 2027
  • Application Deadline: 10 Nov 2026

We are committed to supporting diversity throughout Proforest globally, ensuring an inclusive environment where all individuals can thrive and therefore welcome applications from all. 

To Apply

Send your CV, a cover letter, and your salary history

Shortlisted candidates will be contacted by 19 Nov onward

Interview date 23 Nov – 11 Dec

Proforest is an equal opportunity employer.

Skills Required

  • Degree in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, Environmental Science, Geography, Geospatial Science, Sustainability, Business Analytics, or a related field; equivalent practical experience considered.
  • 1-2 years of relevant hands-on experience in data analysis, data management, reporting, or business intelligence.
  • Strong Microsoft Excel skills, including PivotTables, lookup functions, data cleaning, and analysis.
  • Experience extracting, validating, cleaning, and consolidating real-world datasets from multiple sources.
  • Understanding of data structures, data quality, and basic analytical techniques, with ability to investigate discrepancies and interpret results.
  • Clear English communication, attention to detail, problem-solving ability, and effective collaboration.
  • Hands-on Power BI experience, including Power Query, dashboards, data modelling, or DAX.
  • Smartsheet experience in data collection, reporting, workflow management, or integration.
  • Basic SQL or Python knowledge for data querying, cleaning, processing, or automation.
  • Experience with sustainability, ESG, agricultural supply chains, supplier performance, or traceability data.
  • GIS or spatial analysis exposure, such as ArcGIS or QGIS, and familiarity with deforestation or responsible sourcing indicators.
  • Experience supporting consultancy projects and client reporting.
  • Working knowledge of AI platforms such as Claude or ChatGPT.
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The Company
HQ: Oxford
264 Employees
Year Founded: 2000

What We Do

Proforest is a mission-driven organisation and consultancy that helps companies, governments, civil society and other stakeholders make agricultural and forest commodity production and sourcing more resilient and sustainable. Its work translates environmental and social commitments into practical action across global supply chains, addressing forests and ecosystems, climate, workers’ rights, gender equality, smallholder inclusion and engagement with communities and Indigenous peoples.

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