- Join a functional area in our organization such as SEO, Customer Experience, Paid Media, and Business Operations to find your niche and understand the challenges they face. You’ll work on identifying opportunities for data-driven improvements and advanced analytics solutions.
- As an Analyst Intern, you will bridge the gap between our vast data landscape and impactful business solutions. Your focus will not just be on the technical side, but also on the application of your solutions in a real business context. You will have the responsibility and autonomy to drive decisions and behavior changes.
- Translate complex business problems into clear, measurable projects. You'll see the big picture but also dive into details to uncover new opportunities for growth and optimization.
- Leverage data processing tools to manipulate large datasets to create data-based solutions, leveraging analytical techniques and RV’s proprietary technology to discover and interpret deeper trends and relationships.
- Analyze the impact of your experiments, synthesizing and presenting your findings in a way that clearly communicates the impact and aligns stakeholders to create desired next steps.
What We're Looking For
- Graduating Summer 2026 with a relevant undergraduate degree such as (but not limited to) business, data analytics, math, statistics, computer science, or a combination of these.
- Internship start date in our June 2025 cohort.
- Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems.
- Ability to collect, mine, and manipulate data from disparate data sources, with a willingness to dig deeper and understand the process that creates data.
- Demonstrated ability to drive decisions and behavior changes through analytical capabilities and data-driven solutions, and the ability to measure and analyze the impact of these solutions.
- Demonstrated ability to synthesize complex data into actionable insights, and effectively communicate these insights and recommendations to both technical and non-technical stakeholders.
- Foundational analytics toolkit - data extraction, manipulation, and visualizations (e.g., SQL, Tableau, Advanced Excel).
- Nice to Have: Familiarity with machine learning, statistical modeling, and optimization, with hands-on experience working directly or indirectly on a related problem. (e.g., R, Python)
- Entrepreneurial mindset with strong business acumen and capability of coming up with creative ideas to create value for consumers and businesses.
- Scrappy, tenacious, and self-motivated.
- BUT - also a team player with no ego, a competitive spirit, and great sense of humor.
Compensation And Work Perks
- Cash Compensation Range: $3,076.92 per bi-weekly pay period
- Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte)
- Free onsite fitness classes, premier wellness center, spin studio, basketball court, and yoga studio
- Casual dress code – yes, that means jeans!