Senior Product Analyst

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week.
But what truly sets us apart? Our people. We’re a diverse group of innovative thinkers, creators, and problem-solvers who believe in delivering an incredible product—and having fun while doing it.
The Opportunity 
We're looking for a Senior Product Analyst to join our Product Analytics Team - a team focused on instrumenting and using data to enable better product decisions and opportunities.You’ll be bringing your perspectives and recommendations on our business and customers to help drive better decisions for our product, and communicate and influence teams and stakeholders through close collaboration. Veo is in a foundational stage in how we approach building a shared understanding of metrics, baselines and drivers, and so you will play a key role in ensuring proper instrumentation and tracking, as well as ensuring that teams have common metrics which best align with goals and are build with an eye towards reusability.  Key Responsibilities

• Common Metrics & KPIs: Define, implement, and maintain the metrics that align with product goals—ensuring they’re reusable, well-documented, and widely understood across teams.
• Quantitative Research & Insights: Conduct deep-dive analyses and experiments to verify product opportunities, making data-driven recommendations that inform our roadmap.
• Instrumentation & Event Tracking: Oversee proper tracking for product features. Validate, test, and document analytics events to ensure accurate and consistent data collection.
• Cross-Functional Alignment: Ensure all relevant teams—product, marketing, engineering, etc.—have access to meaningful insights that guide decision-making and align with our business objectives.

Requirements

• 5+ years of professional experience in a data analytics role, ideally within SaaS, sports technology, or other analytics-driven products.
• Proven ability to handle ad-hoc requests, manage stakeholder expectations, and deliver actionable insights.
• Solid experience with setting up event tracking and instrumenting features (we use Segment).
• Strong experience based knowledge in SQL and Python (or similar language).
• Acumen on product intuition.
• Experience with BigQuery, Looker, Amplitude, Segment or similar tools.
• Track record of translating complex analyses into actionable recommendations.
• Experience setting up and running experiments.
• Full professional proficiency in English.