Data Analyst

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

You will 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 work will include:

• 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.

You will work closely with risk, operations, and engineering in a fast-paced, startup-like environment. We value ownership, accurate data, clear communication, and using AI and automation to improve the way we work.

You will 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.

Must have

• 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.

Strong candidates also 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.

Base salary: $80,000–$110,000 annually, with opportunity for performance-based bonuses.

• Health and dental insurance
• 401(k) retirement plan with company matching
• Tickets to select live events

This is an in-person role in Boston’s Seaport District. Applicants must live in or be willing to relocate to the Greater Boston area.

Our interview process begins with an initial conversation with our HR team, followed by introductory discussions with the hiring team. Candidates then complete a Python-based take-home exercise focused on data ingestion, pipeline design, and predictive modeling, walk through their solution with the team, and meet with the hiring manager and senior leadership.