As a Data Analyst, your crucial task is to extract insights and make informed decisions from raw data.

Job Description: Junior Data Analyst

Qualifications: Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, Economics.

  • Fresh graduates or individuals with minimal professional experience are encouraged to apply.
  • This role offers a valuable opportunity to gain hands-on experience in data analysis, work with real-world datasets, and contribute to projects that impact decision-making. Join us and be part of a team that values curiosity, innovation, and collaboration in the realm of data analysis.

Required Technical Skills:

  • Proficiency in data analysis tools such as Excel, Python, R, or SQL.
  • Basic understanding of data visualization tools like Tableau, Power BI, or similar.

Desired Skills:

  • Familiarity with statistical analysis concepts and techniques.
  • Strong attention to detail and ability to work with complex datasets.
  • Good problem-solving skills and the ability to draw meaningful insights from data.
  • Effective communication skills to present findings and insights.
  • Eagerness to collaborate with cross-functional teams and contribute to data discussions.


  • A genuine interest in data analysis and a willingness to learn and adapt.
  • Basic understanding of data collection, cleaning, and transformation.
  • Eagerness to understand business objectives and contribute to data-driven decision-making.
  • Strong organizational skills and the ability to manage and prioritize tasks.
  • Ability to work collaboratively and contribute to a positive team environment.
  • Openness to receiving guidance and learning from senior team members.
  • Willingness to adapt to new tools and techniques in the field of data analysis.


  • Collaborate with senior data analysts to assist in data collection, cleaning, and preparation.
  • Use data analysis tools to explore and analyze datasets to uncover trends and insights.
  • Collaborate with cross-functional teams to understand data requirements and objectives.
  • Assist in creating data visualizations and reports to communicate findings effectively.
  • Learn and apply basic statistical techniques to draw meaningful conclusions from data.
  • Contribute to the documentation of data analysis processes and findings.
  • Engage in continuous learning to stay updated with data analysis trends.
  • Adapt to changing project requirements and contribute to team goals.