About The Position

We are seeking a motivated Business Intelligence Intern to support our analytics and reporting efforts over a 10-week internship from May 26- July 31, 2026. This role provides hands-on experience working with data, dashboards, and business reports to help inform decision-making across the organization.

Requirements

  • Currently pursuing a degree in Business Analytics, Data Science, Information Systems, Computer Science, Economics, or a related field
  • Basic understanding of data analysis concepts
  • Familiarity with Excel or Google Sheets
  • Strong analytical and problem-solving skills
  • Understanding of relational models and ETL (extract, transform, load) methodologies
  • Attention to detail and ability to work with large datasets
  • Familiarity with statistical analysis concepts in the support of machine learning structures and predictive models
  • Good written and verbal communication skills
  • Must be a hands-on team contributor
  • Ability to communicate clearly and work collaboratively with other departments/teams located around the world
  • Excellent organizational skills and attention to detail

Nice To Haves

  • Structural application of AI resources to large datasets (in addition to ML familiarity)
  • Experience with computer languages such as SQL, DAX, and/or Power Query (M) on at least an introductory educational level
  • Flexibility in pivoting between various data sources to create data collages for deeper analytics
  • Ability to navigate data science environments such as Python, PySpark, or similar

Responsibilities

  • Assist in collecting, cleaning, and validating data from multiple sources
  • Support the creation and maintenance of dashboards and reports
  • Analyze data to identify trends, patterns, and insights
  • Work with business stakeholders to understand reporting needs
  • Document data definitions, processes, and findings
  • Perform ad hoc data analysis as needed
  • Create probability scores based on multivariate analysis

Benefits

  • Large-scale, customer churn/loss predictability score based on multiple data sources and thresholds
  • Gain hands-on experience in project management and learn industry best practices.
  • Opportunity to collaborate with experienced professionals and develop a strong professional network
  • Exposure to real-world project challenges and the chance to contribute to the success of projects.
  • A supportive and dynamic work environment encourages learning and growth.
  • Potential for future career opportunities with HOYA Vision Care
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