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AMDOR ANALYTICS

Canada · On-site Full-time Entry Level 1w ago

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

Data analysisStatistical methodsData structuresSpreadsheetsDatabasesData visualizationQuery languagesAnalytical scripting

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