Writer
AMDOR ANALYTICS
About the role
Junior Data Analyst – Role Description & Qualifications
Role Overview
The Junior Data Analyst supports data-driven decision-making by collecting, processing, and analyzing data to generate meaningful insights. This role is designed for early-career professionals who are eager to develop analytical skills, work with structured datasets, and collaborate with cross-functional teams to support business objectives. The position offers hands-on experience with data analysis tools, reporting, and performance measurement.
Key Responsibilities
• Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
• Assist in analyzing datasets to identify trends, patterns, and performance indicators.
• Prepare regular and ad hoc reports, dashboards, and data summaries for internal stakeholders.
• Support data visualization efforts to present insights in a clear and actionable manner.
• Assist in maintaining databases and ensuring proper data documentation.
• Work closely with senior analysts to understand business requirements and analytical methodologies.
• Participate in quality checks and data governance activities.
• Help automate routine data processing and reporting tasks where applicable.
• Support performance tracking by monitoring key metrics and indicators.
• Contribute to continuous improvement of data analysis processes and tools.
Qualifications and Requirements
• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Basic understanding of data analysis concepts, statistical methods, and data structures.
• Familiarity with spreadsheets, databases, and data visualization tools.
• Introductory knowledge of query languages or analytical scripting is an advantage.
• Strong attention to detail and commitment to data accuracy.
• Analytical mindset with problem-solving capabilities.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Strong organizational skills and ability to manage multiple tasks.
• Willingness to learn new tools, techniques, and analytical frameworks.
• Experience from academic projects, internships, or personal data analysis work is a plus.
Summary
The Junior Data Analyst plays an important role in transforming raw data into valuable insights that support operational and strategic decisions. This position provides a solid foundation for building a career in data analytics through practical experience, collaboration, and continuous learning.
Requirements
- Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
- Basic understanding of data analysis concepts, statistical methods, and data structures.
- Familiarity with spreadsheets, databases, and data visualization tools.
- Introductory knowledge of query languages or analytical scripting is an advantage.
- Strong attention to detail and commitment to data accuracy.
- Analytical mindset with problem-solving capabilities.
- Ability to communicate findings clearly to both technical and non-technical audiences.
- Strong organizational skills and ability to manage multiple tasks.
- Willingness to learn new tools, techniques, and analytical frameworks.
- Experience from academic projects, internships, or personal data analysis work is a plus.
Responsibilities
- Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
- Assist in analyzing datasets to identify trends, patterns, and performance indicators.
- Prepare regular and ad hoc reports, dashboards, and data summaries for internal stakeholders.
- Support data visualization efforts to present insights in a clear and actionable manner.
- Assist in maintaining databases and ensuring proper data documentation.
- Work closely with senior analysts to understand business requirements and analytical methodologies.
- Participate in quality checks and data governance activities.
- Help automate routine data processing and reporting tasks where applicable.
- Support performance tracking by monitoring key metrics and indicators.
- Contribute to continuous improvement of data analysis processes and tools.
Skills
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