Analytics Leadership Development Program Summer Internship

About the Role

Key Responsibilities

• Performs secondary, commercial market data analyses in areas such as segmentation, customer targeting, program ROI, key performance indicators, and ad hoc marketing analyses.
• Supports market and price forecasting through secondary market data analysis.
• Applies model building and coding skills to analyze market dynamics, including resource allocation, response to marketing stimuli, and customer segmentation using techniques such as optimization, regression, and Monte Carlo simulations.
• Uses the scientific method to uncover business insights by asking challenging questions, developing hypotheses, conducting data experiments, analyzing results, and drawing conclusions to provide actionable intelligence.
• Conducts promotion response analysis for brand promotional tactics to optimize financial return on investment.
• Conducts longitudinal claims analysis to identify and assess treatment patterns and algorithms.
• Prepares presentations for senior management on market planning, product selection, and business environment changes.

Requirements

• Master's degree students in Data Science, Business Analytics, Marketing Analytics or related field.
• Three to five years of prior work experience.
• Must be authorized to work in the US on a permanent basis without requiring sponsorship.
• Must be available full time (40 hours/week) for a minimum of 12 weeks during summer 2026.
• Minimum GPA of 3.5/4.0.
• Graduate student with at least one year of university studies prior to internship.
• Returning to university for at least one semester/quarter post-internship.
• Excellent communication and presentation skills.
• Knowledge of coding techniques in SAS, R, or Python, as well as advanced Excel skills and Tableau visualization.
• Understanding and application of quantitative principles, concepts, practices, and standards surrounding secondary market data sources.

Nice to Have

• Experience with analytical tools such as Dataiku, Tableau, Amazon Redshift, R, Python, SAS, and Databricks.
• Global mindset to thrive in a diverse work environment.

Qualifications

• Graduate student with at least one year of university studies prior to internship.
• Minimum GPA of 3.5/4.0.

Benefits & Perks

• Paid sick time
• Civic Duty paid time off
• Participation at company volunteer events
• Participation at company-sponsored events
• Access to on-site fitness center (where available)
• Commuter Benefit: fixed monthly subsidy for transit or parking