Senior Analytics Engineer

ABOUT VICTORY LIVE Victory Live is a private equity backed technology company aimed at maximizing distribution and yield for live event ticket inventory

We provide an end-to-end software platform for the live ticketing industry, managing thousands of sports, theater, and live music event tickets on behalf of artists, promoters, teams, venues, and professional resellers

Victory Live ’s comprehensive offerings include an established B2B marketplace along with both a full-service and an automated SaaS platform to handle all elements of the ticket sales lifecycle, from ingestion to sales fulfillment

Analytics Engineer will sit at the intersection of data infrastructure and intelligent automation, helping Victory Live 's business intelligence function evolve from reactive reporting to proactive, AI-augmented insight

You'll build and maintain the data foundation that powers our decision-making and the pipelines and models that feed automated and agentic workflows across the business

RESPONSIBILITIES Design, build, and maintain robust ELT pipelines using tools like dbt, Snowflake, Dagster, and Azure Data Factory, applying AI-assisted development practices to accelerate delivery and reduce toil

Write efficient SQL and Python, leveraging AI coding assistants (Cursor, GitHub Copilot, Claude, etc.) to improve velocity without sacrificing code quality or reviewability

Build and maintain semantic data models including fact/dimension tables, metrics layers, and reusable datasets that serve both human analysts and programmatic/agentic consumers downstream

Develop pipelines and data structures that support AI-powered features, including LLM context retrieval, embedding generation, structured output ingestion, and agent tool integrations