Intern-Commercial Analytics (Promotions, Customer & DTC Analytics)

Overview

Nature's Sunshine is seeking a highly analytical intern to support data-driven decision making across promotions, customer behavior, and direct-to-consumer performance.

This role focuses on understanding how promotions, pricing, and customer dynamics influence purchasing behavior. You will work with transaction-level data to evaluate promotion effectiveness, analyze customer behavior, and support development of predictive insights.

Responsibilities

• Analyze promotion performance (discounts, bundles, campaigns) to measure incremental lift and impact on customer behavior
• Evaluate how promotions influence repeat purchase, stock-up behavior, and purchase timing
• Build customer segmentations using behavioral data (e.g., purchase frequency, recency, spend)
• Support development of models to estimate:
  • likelihood to purchase
  • response to promotions
  • repeat purchase / churn risk
• Analyze cohort behavior (e.g., customers acquired through promotions vs. non-promotional periods)
• Work with transaction-level datasets to create features (recency, frequency, monetary value, promotion exposure)
• Translate analysis into clear insights to support marketing and commercial decisions

Qualifications

• Pursuing a degree in Statistics, Data Science, Business Analytics, Applied Math, Economics (quantitative), or similar
• Coursework or project experience in statistics or data analysis, including:
  • regression (linear or logistic)
  • hypothesis testing or statistical inference
• Demonstrated experience working with data beyond basic Excel (through class projects, research, or internships)
• Familiarity with at least one of the following:
  • SQL
  • Python (pandas, numpy, or similar)
  • R
• Experience or exposure (coursework or projects) to at least one of:
  • customer segmentation (e.g., RFM, clustering)
  • predictive modeling (e.g., propensity, churn, classification problems)
  • analyzing customer or transaction-level datasets
• Ability to explain analytical work clearly and connect results to business questions

Nice to have

• Experience analyzing marketing or promotion-related data (coursework or projects is sufficient)
• Exposure to A/B testing or evaluating campaign performance
• Familiarity with data visualization tools (Power BI, Tableau, etc.)