Key Responsibilities1. Sustainability and Supply Chain Data AnalysisCollect, 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 ReportingDevelop 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 ImprovementMaintain 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 SupportCollaborate 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 ReportingSupport 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.
