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Data Analyst

2 weeks ago

Melbourne, Victoria, Australia SV Collection Full time $60,000 - $120,000 per year

Data Analyst

We are seeking a highly analytical and detail-oriented Data Analyst to transform raw data into actionable insights that guide business decisions and improve operational performance. This role involves gathering, processing, and interpreting complex datasets, identifying trends, and presenting findings in a clear and meaningful way. The ideal candidate is curious, methodical, and able to communicate insights effectively to both technical and non-technical stakeholders.

As a Data Analyst, you will collaborate with teams across the organization to understand data needs, design analytical approaches, and deliver actionable insights. You will collect and clean data from multiple sources, perform quantitative and qualitative analyses, and create reports or dashboards to support strategic initiatives. Your work will help inform decision-making, monitor performance, and identify opportunities for improvement.

You will also contribute to developing key metrics, forecasting trends, and performing scenario analysis to guide planning and resource allocation. This role requires attention to detail, strong problem-solving abilities, and the ability to work efficiently with complex datasets. Clear communication and the ability to translate technical information into understandable insights are critical for success.

Qualifications:

  • Proficiency in analytical tools such as Excel, SQL, Python, R, or business intelligence platforms.
  • Strong ability to interpret large datasets, identify patterns, and provide actionable recommendations.
  • Experience creating clear and insightful visualizations, dashboards, and reports.
  • Understanding of statistical concepts, data modeling, and data validation techniques.
  • Excellent attention to detail, organizational skills, and ability to manage multiple priorities.
  • Strong communication and collaboration skills to work effectively across teams.
  • Curiosity, adaptability, and a proactive approach to learning new tools and methodologies.
  • Ability to support decision-making through accurate, data-driven insights.