Data analyt (entry / junior)

This part-time Data Analyst (Entry / Junior) role with Sociedad Latinoamericana para la Investigación de los Recursos Naturales is based in Brisbane, QLD, in a hybrid arrangement that combines on-site work with some work from home. The Data Analyst will support research projects by collecting, cleaning, and organizing quantitative and qualitative datasets related to natural resources and environmental topics. Day-to-day tasks include running basic statistical analyses, building simple data models, and generating clear tables, charts, and dashboards to communicate findings. The role also involves documenting methods, supporting data quality checks, and collaborating with researchers to translate analytical results into actionable insights. The position is well suited to someone early in their career who is eager to learn, follow established protocols, and contribute to evidence-based decision-making.

• Strong analytical skills and foundational knowledge of data analytics, including working with datasets, identifying patterns, and interpreting results.
• Basic understanding of statistics and statistical methods relevant to entry-level data analysis (e.g., descriptive statistics, correlation, simple regressions).
• Familiarity with data modeling concepts, such as structuring data, building simple models, and supporting forecasting or scenario analysis.
• Clear written and verbal communication skills to present findings, prepare concise reports, and collaborate effectively within a multidisciplinary team.
• Comfort with common data tools (e.g., Excel or Google Sheets) and at least one analytics or visualization tool (such as R, Python, Power BI, or Tableau) is desirable.
• Ability to manage time in a part-time, hybrid environment, including self-organization, reliability, and responsiveness to team needs.
• Interest in natural resources, environmental research, or related fields; prior academic or project experience in these areas is an advantage.
• Relevant tertiary studies in data science, statistics, environmental science, economics, or a related discipline (completed or in progress).