Behavioral Analytics Intern
Jewelers Mutual Group
Raleigh, NCFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- OperationsData analysisProduct managementStatisticsData visualizationMarketing
- Nice to have
- SparkGoogle Analytics
- Work
- On-site in Raleigh · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis94%Statistics54%Operations31%Product management3%of 71 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
Under the guidance of the Senior Manager of Behavioral Analytics, this internship focuses on supporting digital products to deliver insights for improving user experience and optimizing operations. The role involves gathering, analyzing, and visualizing data to contribute to a cohesive user experience.
Key Responsibilities
- Data Analysis & Reporting:
- Provide insights into product performance, user behavior, and business trends.
- Report on key metrics and KPIs in collaboration with Product Managers and Product Designers.
- Analyze large datasets to make recommendations for improvements and product optimizations.
- Product Experimentation & Strategy Support:
- Monitor and analyze experiments (e.g., A/B testing) on product features and usage.
- Visualize and report on experiment results to product teams.
- Cross-functional Collaboration:
- Support Product Managers, Product Designers, and marketing specialists in building dashboards, reports, and analytics tools.
- Participate in team meetings and strategy sessions.
- Operational Efficiency:
- Identify data gaps and opportunities for optimization across assigned digital products.
Requirements & Tech Stack
- Must be pursuing a Bachelor’s degree in economics, political science, data science, statistics, or similar field.
- Expected graduation date between December 2027 and June 2028.
- Strong communication skills.
- Understanding of hypothesis testing, regression modeling, and experimentation design & evaluation.
- Experience with data visualization, including static charts/graphs and dynamic dashboards (e.g., Tableau, PowerBI).
- Proficiency in SQL and either Python or R.
Preferred Qualifications
- Experience with Databricks.
- Familiarity with product analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude).