Graduate: Sustainability Data Analyst

A highly disciplined, proactive, and curious entry-level analyst who thrives on research, structured data handling, and methodical problem-solving. This individual will be responsible for:

Sourcing activity data from vendors, site managers, and global project teams. Maintaining and cleaning the central environmental data repository. Generating standardized impact reports (e.g., carbon footprint). Transforming raw data into clear, actionable dashboards and insights. Academic and Technical Foundation

Candidates with a research-heavy degree, internship experience, Power BI courses, or applied analytics in their studies will stand out., Education: A degree in a relevant discipline where quantitative research, statistical interpretation, or data management was a core component (e.g., Environmental Science, Data Analytics, Economics, Geography). Data Analysis: Foundational experience (from academia or projects) in data analysis. Data Visualization Tools: Basic to intermediate familiarity with a data visualization tool (e.g., dashboard creation, simple data structuring, model organization). Core Tools: Proficient in spreadsheet software, managing data logs, cleaning datasets, and following structured workflows. Environmental Awareness: A genuine motivation to work in the environmental field and an awareness of major global standardized sustainability frameworks. Core Competencies

Stakeholder Liaison: Ability to professionally follow up with vendors, site teams, and regional offices for data, maintaining positive relationships while navigating varying levels of regional capability. Organizational Rigor: Exceptionally structured, capable of accurately managing data requests, tracking follow-ups, logging submissions, and adhering to strict timelines. Data Quality Assurance: Comfortable working with inconsistent or incomplete datasets and applying the discipline needed to bring them to an auditable standard. Analysis and Insight: Able to interpret quantitative data, build fundamental visualizations, and calculate basic performance metrics (e.g., impact per unit of output or attendance). Communication: Clear communicator, able to proactively escalate potential risks and present early findings in a simple, logical format to collaborators. Proactivity: Approaches tasks with a proposed solution or approach first (e.g., "Here is my proposed method-does this align with the objective?").

Compensation: The remuneration package is competitive for a starting role in this field.