Product Analytics Intern

As a Product Analytics Intern at Braze, your responsibilities include analyzing and visualizing data, collaborating with product, engineering, and design teams to prioritize product development, and translating business requirements into user stories and functional specifications. You will also identify customer engagement metrics and synthesize various forms of data to contribute to customer satisfaction insights, all while working in a supportive team environment.

To be eligible for the Product Analytics Intern position at Braze, you should be pursuing a Bachelor's or Master’s degree in a technical discipline such as Statistics, Math, Economics, or Computer Science, ideally graduating by Spring or December 2025. Ideally, candidates should have 0-1 years of experience in product analysis or related roles, expertise with programming languages like Python or Ruby, and familiarity with data visualization tools such as Looker or Tableau.

Essential skills for the Product Analytics Intern role at Braze include strong analytical abilities, proficiency with data analysis tools and methodologies, excellent communication skills, and the capacity to work effectively in cross-functional teams. Knowledge of UX design principles is also beneficial, as it allows you to collaborate closely with design teams and create user-friendly product interfaces.

At Braze, you can expect a collaborative, transparent, and fun working environment that values team spirit and individual contributions. With a strong emphasis on work-life harmony, you will be part of a passionate culture that encourages autonomy, accountability, and a keen curiosity to learn and share. Braze also promotes professional development and engagement opportunities throughout the year.

The pay range for the Product Analytics Intern position at Braze, for candidates based in the United States, is expected to start at around $45 per hour. This competitive compensation reflects our commitment to valuing our interns and supporting their professional growth.

When answering this question, focus on any tools you’ve used, such as Python, R, or data visualization tools like Tableau. Provide specific examples of projects you've completed using these tools and discuss how they helped you derive insights from the data. Highlight your analytical skills and how you can apply them at Braze.

Discuss your understanding of data visualization principles and the tools you’ve utilized. Offer insights into how you choose the right charts and visuals for specific datasets and how those choices help communicate your findings effectively. Mention any projects where you successfully visualized data that led to actionable insights.

Communicate your approach to time management and the importance of understanding project scope and urgency. Mention how you would assess the impact of each task on overall product goals and collaborate with team members to manage expectations and deadlines effectively.

Share a specific example from your academic or internship experiences where you collaborated with peers to tackle a challenging issue. Highlight the strategies you employed, roles within the team, and what the outcome was. Emphasize your teamwork and communication skills.

Discuss your enthusiasm for SaaS products and how they transform customer engagement. Express your desire to be part of a fast-paced environment like Braze, where you can contribute to innovative solutions and learn from seasoned professionals. Make sure to connect your interest to the company’s mission.

Detail your understanding of various customer engagement metrics and how they impact product development. Talk about any experience you have in gathering and analyzing usage data to create actionable insights that drive product improvements and enhance customer satisfaction.

Provide a rundown of programming languages you’ve worked with, like Python or Java, and share specific projects where you used these languages for data manipulation, analysis, or automation tasks. This showcases your technical skills and practical experience in a real-world context.

Outline the steps in your data transformation process, from cleaning and preprocessing raw data to deriving insights and visualizations. Emphasize your attention to detail and methodical approach, highlighting the tools used within each step for clarity.

Include key qualities such as strong analytical capabilities, attention to detail, effective communication skills, and a collaborative spirit. Explain how these qualities would help you contribute positively to the team environment at Braze and support the company’s goals.

Choose a project that demonstrates your analytical skills and any innovative approaches you took. Explain the project's objectives, your contributions, and the outcomes. This gives you a chance to show your passion for data and your problem-solving skills.