What You’ll Work On
- Collect, clean, and analyze both structured and unstructured data
- Support the development of dashboards and reports using tools like Power BI or Tableau
- Work with modern data platforms including Microsoft Azure, Snowflake, Fivetran, and dbt to support data pipelines and transformations
- Assist in evaluating and prototyping AI and machine learning use cases
- Participate in data validation, quality assurance, and documentation efforts
- Collaborate with cross-functional teams to translate business needs into data insights
- Contribute to process automation and workflow optimization initiatives
- Present findings, insights, and recommendations to IT and business stakeholders
- Ensure all work aligns with data security, privacy, and banking regulatory standards
What We’re Looking For
- Students in Data Analytics, Computer Science, Information Systems, Finance, or a related field
- Strong analytical mindset with attention to detail
- Strong foundational skills in Excel, with experience in SQL, Python, or another scripting language preferred
- Familiarity with or interest in AI technologies, data platforms, and analytics tools
- Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus
- Strong communication skills and a willingness to learn
What Makes This Internship Different
- Real Impact: Work on projects that directly influence business and technology decisions
- Modern Tech Stack: Gain exposure to enterprise tools like Azure, Snowflake, Fivetran, and dbt
- AI Exposure: Hands-on experience exploring practical AI use cases in a regulated industry
- Executive Visibility: Present insights to IT and business leadership
- Cross-Functional Experience: Partner with teams across IT, data, operations, and mortgage
- Mentorship: Learn from experienced professionals in technology and financial services
Apply Now
If you're excited about using data and AI to solve real business problems, we’d love to hear from you.