ఎ
Entry Level Data Analyst
Sydney, New South Wales, Australia (Hybrid) · పార్ట్ టైమ్
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
- అనుభవం
- ఏదైనా
- జీతం
- —
- ఖాళీలు
- 1
- పోస్ట్ చేయబడింది
- 1 గంట క్రితం
- పని విధానం
- హైబ్రిడ్
- విద్య
- Relevant qualification or coursework in Data Science, Statistics, Mathematics, Computer Science, Agribusiness, or related fields
- పునఃప్రారంభం
- దరఖాస్తు చేసుకోవాలి
మీరు ఎక్కడ పని చేస్తారు
ఉద్యోగ వివరణ
Role Overview
This part-time Data Analyst position is based in Sydney, NSW, and offers a hybrid working arrangement combining on-site presence with work-from-home flexibility. The successful candidate will support agricultural projects by managing operational and field data collected from greenhouse and associated systems.
Key Responsibilities
- Collect, clean, and organize agricultural operational and field data.
- Perform basic data analyses to identify trends and patterns.
- Prepare reports and interactive dashboards for project teams.
- Assist in developing straightforward data models for forecasting and decision support.
- Collaborate with project teams and management to refine data requirements and clearly communicate findings.
Required Qualifications and Skills
- Strong analytical abilities with foundational knowledge in data analytics.
- Understanding of statistics to interpret data and support evidence-based decision-making.
- Basic skills in data modeling to structure datasets effectively.
- Good communication skills for presenting insights to both technical and non-technical audiences.
- Familiarity with spreadsheet applications and/or data analysis software such as Excel, Google Sheets, SQL, or business intelligence tools.
- Relevant academic background preferred, including coursework or qualifications in Data Science, Statistics, Mathematics, Computer Science, Agribusiness, or related disciplines.
- Attention to detail, eagerness to learn, and capability to operate independently in a hybrid work setting.
- Interest in agriculture, agri-tech, or environmental data is advantageous.