Analytics Engineer
Job Description
SeatGeek, a leading online ticket marketplace for sports, concerts, and theater events, is seeking an Analytics Engineer to join our remote team in the United States. As an Analytics Engineer at SeatGeek, you'll play a crucial role in leveraging data to drive business decisions and improve our platform.
In this role, you'll work closely with our data science and engineering teams to design, implement, and maintain data pipelines, data models, and analytics solutions. You'll have the opportunity to work with large-scale datasets and cutting-edge technologies to extract valuable insights that shape our product strategy and enhance user experience.
SeatGeek offers a dynamic and collaborative work environment, even in a remote setting. You'll be part of a team that values innovation, data-driven decision making, and continuous learning. This position provides an excellent opportunity for someone passionate about data analytics and its application in the event ticketing industry.
Join us in our mission to make live events more accessible and enjoyable for millions of fans worldwide. If you're excited about turning data into actionable insights and want to be part of a company that's revolutionizing the ticketing industry, we'd love to hear from you!
Responsibilities For Analytics Engineer
- Design, implement, and maintain data pipelines and ETL processes
- Develop and optimize data models to support business intelligence and analytics needs
- Collaborate with data scientists and engineers to implement machine learning models
- Create and maintain dashboards and reports for key business metrics
- Ensure data quality and consistency across various data sources
- Participate in data architecture discussions and contribute to best practices
Requirements For Analytics Engineer
- Bachelor's degree in Computer Science, Statistics, or related field
- 3+ years of experience in data engineering or analytics engineering roles
- Proficiency in SQL and experience with data warehousing concepts
- Experience with cloud-based data platforms (e.g., AWS, GCP, or Azure)
- Familiarity with data visualization tools (e.g., Tableau, Looker, or PowerBI)
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to work in a remote team environment
Benefits For Analytics Engineer
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- 401(k) plan with company match
- Flexible paid time off policy
- Remote work setup stipend
- Professional development opportunities
