Junior Data Analyst (225-805)

The Junior Data Analyst plays an essential role in the data analytics team by supporting data-driven efforts through the collection, analysis, and visualization of data. This individual will work under the supervision of senior analysts, gaining valuable hands-on experience in data processing and statistical analysis. The ideal candidate should possess a keen analytical mind, an ability to work collaboratively within a team, and a drive to go beyond the numbers to tell a compelling story through data. As a Junior Data Analyst, you will have the opportunity to translate data into actionable insights that contribute significantly to business strategies and decision-making processes within the organization. This role is perfect for a detail-oriented individual looking to start their career in the world of data analytics.

Responsibilities

• Assist in the data collection from primary and secondary data sources efficiently.
• Perform data cleaning to ensure the highest levels of data integrity and accuracy.
• Identify patterns and trends in data sets using statistical tools and software.
• Create and maintain dashboards and reports to present data analytics findings.
• Collaborate with senior analysts to interpret data and analyze results using statistical techniques.
• Support in the development and implementation of data collection systems and analytics strategies.
• Communicate findings to a variety of stakeholders in a clear and concise manner.
• Support projects by providing data-driven insights and recommendations.
• Maintain detailed documentation of processes, methodologies, and findings.
• Learn and adapt emerging tools and methodologies in data analytics.
• Ensure compliance with company data policies and government regulations.
• Participate in continuous learning through professional development opportunities.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Strong proficiency in Microsoft Excel and familiarity with data visualization software.
• Basic knowledge of SQL for data querying and database management tasks.
• Understanding of statistical analysis and data analytics concepts and methodologies.
• Proficiency in a programming language such as Python or R is advantageous.
• Excellent problem-solving skills with a keen attention to detail and accuracy.
• Effective written and verbal communication skills for presenting data findings.
• Ability to manage multiple tasks and projects simultaneously in a dynamic environment.