Position Objective
We are seeking a motivated GKA/Chains/Retail Intern to support our analytics and reporting efforts over a 10-week internship. This role provides hands-on experience working with data, dashboards, and business reports to help inform decision-making across the organization.
Essential Duties and 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
Qualifications
* 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
* Optional: 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
* Good written and verbal communication skills
Behavioural Attributes
* 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
Benefits of the Internship
* 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
Hoya
Sep 13, 2026