Candidates are encouraged to apply to 2 or fewer internship roles during a given internship recruiting cycle.

Are you curious about what makes millions of viewers engage with content and return for more? Do you want to understand which product features drive engagement and long-term growth across mobile and TV platforms? As an Analytics Intern on the Digital Products team you will work at the intersection of product strategy and software engineering, translating raw data into insights and recommendations. You will design and analyze the data foundations that inform how we improve engagement, optimize subscription performance, and shape feature development across our global websites and apps. Your work will directly influence how we evolve our digital products, supporting decisions that impact audience growth, retention, and overall user experience.

SHAPE PRODUCT STRATEGY

Leverage data to support how our digital products grow and improve:

Analyze behavioral and subscription data to identify the drivers of engagement, conversion, retention, and customer lifetime value.

Segment audiences to understand how different user groups interact with product features and content, uncovering opportunities to improve the user experience.

Conduct exploratory data analysis using SQL in cloud-based data warehouses such as BigQuery.

Develop descriptive analyses that surface meaningful usage patterns, distinguishing between casual users, engaged users, and power users.

Contribute to predictive analyses that identify statistically significant signals and behavioral indicators associated with long-term retention, and progression toward high engagement.

SUPPORT ON PRODUCT DECISIONS

Enable product and leadership teams to make informed decisions:

Translate complex findings into clear, data-driven recommendations that inform product roadmaps, feature prioritization, and the allocation of development resources and platform investments.

Formulate prescriptive recommendations based on data insights, advising which product features or optimizations are most likely to improve key performance metrics.

Actively enrolled undergraduate or graduate student

Degree in Computer Science, Data Engineering, Business Analytics, Artificial Intelligence, or a related field preferred/ a plus.

Available full-time (40 hours per week) during the internship onsite.

A growth mindset, with the ability to learn quickly, adapt to new environments, and incorporate feedback

Strong analytical mindset with the ability to interpret data and identify meaningful patterns a plus

Experience with SQL and relational databases preferred.

Strong written and verbal communication skills.

Experience with data visualization tools such as Looker.

Exposure to cloud platforms (Google Cloud, AWS, or similar) is a plus.

Programming experience in Python, JavaScript or similar languages is a plus.

Interest in digital media, streaming platforms, or the sports and entertainment industry

The compensation for this position is $33 per hour. 

Our current Benefits include: Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)

Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.