IT Data & AI Intern (Paid Internship)

Cornerstone Home LendingHouston, TX
3d

About The Position

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

Requirements

  • 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
  • Strong communication skills and a willingness to learn

Nice To Haves

  • Exposure to data visualization tools (e.g., Power BI, Tableau) is a plus

Responsibilities

  • 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

Benefits

  • 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
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