Earth Sciences Institute (ESI) logo

Data Analys (Entry / Junior)

Earth Sciences Institute (ESI)
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Australia
Experience:Mid-Senior level
Estimated Salary:A$50,000 - A$70,000
Skills:
MICROSOFT EXCELSQLPOWER BITABLEAUDATA ANALYSISSTATISTICS
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Job Description

Posted on: June 14, 2026

πŸ“Š We’re Hiring: Data Analyst (Entry / Junior)πŸ“ˆ Employment Type: Full-Time

🌟 Level: Entry-Level / Junior

We’re looking for a detail-oriented and analytical Data Analyst to join our team and help transform data into meaningful insights that drive business decisions. If you enjoy working with data, uncovering trends, and solving problems, this role is for you.

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πŸ” Key Responsibilitiesβ€’ Collect, organize, and analyze data from multiple business sources.β€’ Prepare reports, dashboards, and visualizations to support decision-making.β€’ Identify trends, patterns, and actionable insights from datasets.β€’ Perform data cleansing, validation, and quality assurance activities.β€’ Monitor key performance indicators (KPIs) and business metrics.β€’ Collaborate with stakeholders to understand reporting and analytical requirements.β€’ Present findings and recommendations in a clear and professional manner.β€’ Support process improvements and data-driven initiatives across the organization.β”β”β”β”β”β”β”β”β”β”β”β”β”β”β”πŸ§  Requirementsβ€’ Basic knowledge of data analysis, statistics, and reporting concepts.β€’ Proficiency in Microsoft Excel and familiarity with SQL is preferred.β€’ Experience with Power BI, Tableau, or other data visualization tools is an advantage.β€’ Strong analytical thinking and attention to detail.β€’ Excellent problem-solving and communication skills.β€’ Ability to work with large datasets accurately and efficiently.β€’ Degree, diploma, or relevant training in Data Analytics, Statistics, Mathematics, Business, Economics, IT, or a related field is preferred.β”β”β”β”β”β”β”β”β”β”β”β”β”β”β”βœ¨ What We Offerβ€’ Hands-on experience working with real-world data and analytics projects.β€’ Mentorship and professional development opportunities.β€’ Supportive and collaborative team environment.β€’ Exposure to modern analytics tools, technologies, and business intelligence platforms.

  • β€’ Competitive salary and excellent long-term career growth opportunities.
Originally posted on LinkedIn

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