Business Data Analyst Intern

Position Overview

The Business Data Analyst Intern will support our Accounting and IT departments in supporting our data-driven projects by collecting, organizing, and analyzing data that helps drive decisions for the company. The person will gain experience in data collection and management, reporting, analytics, and visualization tools.

Primary Duties and Responsibilities

• Supports the preparation of business analysis and performance reports and dashboards.
• Helps maintain and update business databases and spreadsheets, and assists with data entry, data cleaning, and validation tasks.
• Collaborates with teams across departments to gather business and operational data and report needs.
• Gathers business intelligence from various sources, including company data, industry and business sources, public information, and other related sources to identify trends and insights.
• Supports the documentation of data processes and analytics.
• Ensures accuracy and confidentiality of sensitive data.
• Helps automate routine data tasks through collaboration with Accounting and Operations Teams.

Learning Outcomes

• Practical experience in data analytics and real-world business applications.
• Exposure to modern tools, data platforms, and analytical techniques.
• Opportunities to work on meaningful projects that impact decision-making.
• Develop technical skills in data handling and reporting.
• Understand how data supports business strategy and decision-making.
• Build professional experience in a corporate environment.

Job Qualifications

• Currently pursuing a Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• Excellent verbal and written communication skills
• Proficient in Microsoft Excel; experience with data visualization tools, (e.g., Power BI) is a plus.
• Familiarity with data analysis concepts; experience with SQL, Python, or R is a bonus but not required.
• Strong analytical thinking and problem-solving abilities.
• Attention to detail and a commitment to data quality.
• Excellent time management skills with a proven ability to meet deadlines.
• Ability to work independently and as part of a team environment.