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.
- 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.