Data Analyst

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, 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 to https://smrtr.io/Crtmh

Shortlisted candidates will be contacted by 19 Nov onward

Interview date 23 Nov – 11 Dec

Proforest is an equal opportunity employer.