Data Analyst

About Us

RTK Tickets is a dynamic and rapidly expanding company at the intersection of entertainment, technology, and trading. From buzzer-beaters and sold-out stadiums to front-row concerts, we provide a comprehensive platform for buying, selling, and optimizing access to live events — and increasingly, other high-demand assets.

We’re a fast-moving, data-driven brokerage redefining how markets are priced, traded, and optimized across entertainment and emerging asset classes. What began as a two-person idea has evolved into a 20-person team built on passion, precision, and performance.

Now, we’re looking for a Data Analyst to help us build and scale the data infrastructure and predictive models that power how we buy and sell tickets. If you’re excited by real-time markets, complex datasets, and turning raw data into measurable outcomes, you could be a great fit for our team.

What You’ll Do

As a Data Analyst at RTK Tickets, you’ll own the systems and models that drive our pricing decisions. You’ll design and maintain data pipelines that ingest market data from dozens of sources, build predictive models that forecast demand, and work closely with our risk and operations teams to turn insights into actions.

You’ll have end-to-end ownership; from raw data ingestion to production-ready models. Your work will directly influence how we price, buy, and sell across thousands of live events.

Your Day-to-Day

• Design, build, and maintain data pipelines that ingest and process transaction and listing data from external marketplaces
• Develop and refine predictive models that forecast demand, identify pricing inefficiencies, and optimize offers
• Implement data quality frameworks and monitoring systems to ensure fresh, accurate, and reliable data
• Build and manage data warehouse pipelines and modeling (ETL/ELT) for large-scale datasets
• Collaborate with the risk and operations teams to translate model outputs into actionable decisions
• Partner with engineers to integrate pipelines with CI/CD processes and automate data workflows
• Present your findings clearly to both technical and non-technical teammates

What You Bring

Required:

• 1-3 years of experience in data science, data engineering, or a closely related analytical role
• Strong Proficiency in Python
  • including experience with data processing libraries
• Solid SQL skills for data analysis, transformation, and pipeline work
• Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Statistics, or a related field
• Comfortable working in a fast-paced, startup-like environment where you take ownership and adapt quickly
• Clear communication skills — able to explain complex ideas simply and confidently
• Excitement about AI, automation, and cutting-edge technology

Nice to Have:

• Exposure to machine learning model deployment or MLOps practices
• Interest in live event markets, trading markets, sports analytics, or alternative asset pricing
• Experience with LLM-based automation tools for data extraction or enrichment

Why You’ll Love It Here

At RTK Tickets, you’ll gain hands-on experience at the intersection of data, product, and live entertainment . Your pipelines and models will directly influence how we price and trade across thousands of live events every week.

If you want to grow your career at the intersection of data, markets, and live entertainment, we’d love to hear from you.

Interview Process

Our interview process includes several stages designed to assess both technical skills and team fit. Candidates should be prepared to meet with the hiring team for introductory conversations, followed by a Python-based take-home exercise focused on data ingestion, pipeline design, and predictive modeling - mirroring the kind of end-to-end work this role owns. Candidates will walk through their solution with the team before final interviews with the hiring manager and senior leadership.

Compensation & Benefits

• Competitive salary with opportunity for performance-based bonuses
• Health and Dental insurance
• 401(k) retirement plan with company matching
• Tickets to select live events