Intern - GKA/Chains/Retail

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 Attribute s

• 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