WHO WE ARE
If you ask us, we’re the perfect mix of athletes, entrepreneurs, engineers, and creatives. Our diverse backgrounds and shared values are what help make Hydrow great. Our mission is not just to create an amazing fitness experience, but a beautiful human experience – one that’s honest, inclusive, and positive.. Hydrow is the Live Outdoor Reality (LOR)™ rowing machine that delivers on-water experiences at home with workouts led by world-class athletes. At Hydrow, you’ll have the chance to shape a company that is disrupting the fitness industry while creating engaging content unmatched in the marketplace today. Sound exciting? That’s because it is!
As a Data Intern in our 1P Data team, you will have the opportunity to work hands-on with first-party data, contributing to the collection, analysis, and interpretation of data directly gathered from our customers. This role is ideal for someone who is passionate about data analytics, has a keen eye for detail, and is eager to learn about data management in a real-world setting.
- Data Collection and Management:
- Assist in the collection of first-party data from various sources including website analytics, customer surveys, and CRM systems.
- Help ensure data accuracy and integrity by performing routine checks and validation.
- Data Analysis:
- Support the analysis of collected data to derive actionable insights.
- Assist in creating reports and dashboards to visualize data for easier interpretation and decision-making.
- Research and Insights:
- Conduct market research and analyze competitors to understand industry trends.
- Participate in the development of customer profiles and personas based on data analysis.
- Work closely with other departments such as marketing, sales, and customer service to understand their data needs and provide support.
- Collaborate with team members on data-driven projects and initiatives.
- Learning and Development:
- Stay updated with the latest trends and tools in data analytics.
- Participate in workshops and training sessions to enhance data analysis skills.
- Currently pursuing a degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- Basic understanding of data collection and analysis principles.
- Familiarity with data analysis tools and software (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Detail-oriented with a passion for accuracy.