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A growing tech company in Vancouver is seeking an experienced data professional to ensure the quality and reliability of integrations with ticketing data. You will perform daily quality checks, reconcile data, and maintain reporting accuracy from platforms like Ticketmaster and Eventim. Strong SQL and Python skills are crucial, along with a problem-solving mentality to address complex data discrepancies. Join a collaborative team focused on fan engagement and technical excellence.
Tradable Bits is an award-winning tech company that helps sports, music and entertainment brands build better fan experiences. Based in Vancouver, Canada, we work with industry leaders across these sectors — including Live Nation, Ticketmaster, and teams from the NBA, NHL, NFL, MLB, and more.
You’re a detail-driven data professional with hands‑on experience working with ticketing and transactional data at scale. You enjoy digging into complex datasets, identifying discrepancies across platforms, and building reliable processes that improve data quality and trust. You’re equally comfortable writing advanced SQL and Python scripts as you are partnering with cross‑functional teams to clearly explain findings and drive solutions.
TradableBits is seeking an experienced data professional to join our Data Operations Team and ensure the quality, accuracy, and reliability of our integrations with ticketing data operations. You'll be responsible for monitoring and maintaining data from major ticketing platforms, including Ticketmaster, Eventim, Ticketek, and others, ensuring our internal systems and client reporting are accurate and dependable.
Required:
Preferred:
At Tradable Bits, you’ll have the opportunity to make a measurable impact on a growing company that powers fan engagement for some of the biggest names in sports and entertainment. You’ll work alongside a collaborative, curious, and supportive team that values initiative, innovation, and continuous improvement.
We’d love to hear from you if you’re excited about solving complex challenges, optimizing systems, and helping revenue teams thrive.
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