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Entry Level Data Analyst

Afrika Earth Projects

Australia · 全职

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1
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2小时前
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职位描述

About the Role

Afrika Earth Projects is seeking a motivated Data Analyst at an entry or junior level to join their Data Analytics & Business Intelligence department. This full-time onsite opportunity is ideal for individuals eager to begin a career in analytics by transforming raw data into insightful information to support intelligent business decisions.

Key Responsibilities

  • Gather, organize, and examine data from both internal and external sources.
  • Develop reports, dashboards, and data visualizations to effectively communicate key findings.
  • Perform cleansing, transformation, and validation of datasets to enhance accuracy and dependability.
  • Analyze patterns and trends to provide actionable insights supporting business strategies.
  • Collaborate with various teams to understand their data needs and deliver relevant analytical outputs.
  • Contribute to improving reporting processes, automating data tasks, and refining analytical workflows.
  • Maintain clear documentation for datasets, reports, and analysis procedures.

Candidate Requirements

  • Basic knowledge of data analysis, reporting, and business intelligence fundamentals.
  • Familiarity with SQL, Microsoft Excel, and visualization tools like Power BI or Tableau.
  • Any experience with Python programming, statistics, or data modeling is advantageous.
  • Strong analytical skills and problem-solving mindset.
  • Detail-oriented with the capability to juggle multiple priorities efficiently.
  • A willingness to learn and a growth mindset with curiosity about new data technologies.

Benefits and Growth Opportunities

  • Engage with meaningful data sets contributing directly to business decisions.
  • Hands-on experience using modern analytic software and techniques.
  • Access to mentorship, training, and clear paths for professional development.
  • Work within a supportive environment that fosters innovation and ongoing learning.
  • Establish a solid foundation for a prosperous career in data analytics and business intelligence.

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