Junior Data Analyst 09F25

The Junior Data Analyst plays a crucial role in transforming raw data into actionable insights that drive strategic decision-making. In this position, you will work closely with data scientists and business analysts to support the organization’s data-driven objectives. You will be responsible for data collection, cleaning, and processing to ensure its availability and accuracy for analysis. As a Junior Data Analyst, you will also create reports and visualizations that highlight key findings and trends. This foundational role offers an excellent opportunity to develop analytical skills and gain experience in working with data in a dynamic business environment. If you have a sharp analytical mind, a passion for numbers, and a desire to grow in the data analytics field, this might be the perfect opportunity for you.

Responsibilities

• Collect, clean, and process large datasets from various sources.
• Assist in developing data collection methods and analytical tools.
• Prepare detailed reports and dashboards for stakeholders and management.
• Collaborate with stakeholders to understand their analysis needs and requirements.
• Perform statistical analysis to identify trends and insights from data.
• Support data scientists in the development of predictive models and algorithms.
• Ensure data integrity and accuracy through regular audits and quality checks.
• Document processes, standards, and procedures for data analysis activities.
• Provide support in the identification and resolution of data quality issues.
• Work with the IT team to improve data storage and retrieval systems.
• Maintain confidentiality of sensitive data and adhere to data protection policies.
• Participate in training and development programs to stay current with industry trends.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Proficiency in data analysis tools such as Excel, SQL, and Python.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent attention to detail and dedication to maintaining data quality.
• Effective communication skills, both written and verbal, for report preparation.
• Ability to work collaboratively in a team-oriented, fast-paced environment.
• Some experience with data visualization tools like Tableau or Power BI is advantageous.