Data Analyst Internship

About Finding Mastery

At Finding Mastery, we help individuals and organizations unlock their potential by applying cutting-edge insights in high performance and wellbeing. Our work spans organizational consulting, high performance mindset training, and digital content including courses and podcasts that amplify world-class thinking and practice.

We’re seeking a motivated Data Analyst Intern to support our team by turning data into insights that help optimize programs, enhance client experience, and strengthen our strategic decision-making.

This is a paid internship, with compensation ranging from $20 to $28 per hour, depending on experience and availability.

Responsibilities:

• Collect, clean, and organize data from multiple sources (e.g., user engagement, course performance, marketing metrics, surveys).
• Analyze trends and patterns to help teams understand performance, user behavior, and areas for improvement.
• Support reporting by preparing dashboards and visualizations using tools like Excel, Google Sheets, Tableau, or similar.
• Assist with building and automating regular reports for internal teams and leadership.
• Collaborate with cross-functional stakeholders (e.g., content, marketing, product) to translate business questions into data-driven answers.
• Help evaluate the impact of programs such as online courses, podcasts, and organizational offerings.
• Communicate insights clearly through written summaries and presentations to support strategic decisions.

• Current student or recent graduate in a quantitative or related field (e.g., Data Analytics, Economics, Statistics, Business Analytics, Computer Science).
• Strong analytical mindset with a passion for making data actionable.
• Comfortable with spreadsheets and basic database querying; experience with BI tools is a plus.
• Excellent written and verbal communication skills to translate data insights for non-technical audiences.
• Curious, proactive, and comfortable working in a mission-driven, collaborative team environment.