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Data Analyst Intern

Data Analyst Intern

Compensation: Unpaid

Role Overview

As a Data Analyst Intern at BetSmart, you’ll work across product, marketing, and growth teams to uncover insights that drive decisions and shape both our user experience and business strategy. You’ll take ownership of end-to-end workflows—from collecting and managing raw data to building intuitive dashboards and surfacing actionable intelligence. This hands-on role is perfect for a detail-oriented, analytically curious thinker eager to contribute to a fast-growing, data-native sports betting platform.

 

Key Responsibilities

Data Collection & Management

  • Design, maintain, and optimize pipelines that track user behavior, marketing effectiveness, and product engagement.
  • Partner with engineering and product teams to ensure consistent, accurate, and scalable data infrastructure.

Analysis & Insights

  • Analyze behavioral, transactional, and operational data to drive strategic decisions.
  • Build predictive models for user retention, revenue forecasting, and cohort trends.
  • Support funnel, attribution, and segmentation analyses for product and marketing teams.

Reporting & Visualization

  • Develop dashboards and reports to visualize key metrics across teams.
  • Monitor performance indicators to detect anomalies and uncover hidden patterns.

     

Strategic Projects

  • Collaborate on product roadmap planning, marketing initiatives, and experimental design.
  • Define success metrics and evaluate impact of A/B tests, campaign rollouts, and feature launches.

 

Technical Skills & Plus Areas

Required Foundation

  • Strong SQL skills for querying relational databases.
  • Proficiency in Excel or Google Sheets for modeling and quick data exploration.
  • Experience with data visualization tools such as Tableau, Looker, Power BI, or similar.
  • Understanding of statistical principles including hypothesis testing, confidence intervals, and correlation analysis.

Bonus Expertise

  • Familiarity with Python, R, or other tools for data wrangling and statistical analysis.
  • Exposure to customer lifecycle analytics, growth modeling, or marketing data structures.
  • Interest or background in sports betting, gaming, or fintech environments.

 

Qualifications

  • Currently pursuing or recently completed a degree in a quantitative or analytical field (e.g., Data Science, Statistics, Economics, Math, Business, or related).
  • Practical experience from internships, personal projects, or coursework that demonstrates hands-on analytics capability.
  • Strong communication skills and the ability to explain technical insights to non-technical stakeholders.
  • Passion for sports, technology, and making data-driven decisions in a fast-paced startup environment.

 

What We Offer

  • Impact: Contribute meaningfully to product evolution and business strategy in a high-growth startup.
  • Ownership: Drive core reporting and analytical initiatives across the company.
  • Learning: Exposure to cross-functional collaboration and real-world application of data tools and techniques.
  • Team: Join a curious, mission-driven group that values speed, creativity, and experimentation.
  • Future Opportunity: Potential for a return offer or long-term collaboration after the internship.