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
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