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اے

Entry Level Data Analyst

AM AGRITECH

Sydney, New South Wales, Australia (Hybrid) · پارٹ ٹائم

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
کوئی بھی
تنخواہ
کھلنا
1
پوسٹ کیا گیا
1 گھنٹہ قبل
کام کا موڈ
ہائبرڈ
تعلیم
Relevant qualification or coursework in Data Science, Statistics, Mathematics, Computer Science, Agribusiness, or related fields
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

جہاں آپ کام کریں گے۔

ملازمت کی تفصیل

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.

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