Data Analyst Student – Winter 2027
Employer not yet confirmed · Saint John, NB, Canada
The Data Analyst Student will be a collaborative member of the JDI IT Data and Analytics team, gaining hands-on experience turning raw data into meaningful insights that support real business decisions. Working alongside Data Analysts and business stakeholders, the student will prepare and analyze data from various sources, build reports and dashboards in Power BI, and help support data modernization and migration initiatives.
This role is ideal for a curious, motivated student who enjoys working with data, has an aptitude for technology and is eager to learn. It's a chance to build real-world analytics skills with enterprise tools while helping modernize how JDI uses data.
This position requires full-time on-site presence.
- Develop, enhance and document reports and dashboards using Microsoft Power BI.
- Prepare, cleanse and analyze data from a variety of sources to support reporting and business decision-making.
- Support data modernization and migration initiatives, including moving existing reports and data to modern platforms and validating the results.
- Help identify, troubleshoot and resolve data quality and data integrity issues.
- Support the maintenance, organization and continuous improvement of analytics platforms and solutions.
- Explain analytical findings and technical concepts in clear, easy-to-understand language for stakeholders.
- Currently enrolled in a university or college program in Computer Science, Information Technology, Data Analytics, Business Analytics, or a related discipline.
- Strong analytical and problem-solving skills, with a natural curiosity about data.
- Excellent communication and teamwork skills.
- Strong attention to detail and a focus on delivering high-quality work.
- Self-motivated, with an eagerness to learn new technologies.
- A growth mindset and an interest in finding better ways to solve problems.
Bonus
- Experience with Microsoft Power BI or Power Query.
- Experience with SQL and relational databases.
- Exposure to Microsoft Azure, Microsoft Fabric, or other modern data platforms.
- Experience with Python, R, or another programming language.