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Senior Product Analyst - Revenue Enablement Group

Veo

FulltimeOfficeWith Experience
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Copenhagen

Salary:

🥅 sports

Data Engineer

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, the group responsible for building strong instrumentation and using data to enable better product decisions across Veo. In this role, you will be embedded within the Revenue Enablement Group in the Product & Engineering department, focusing on the data and analytics that power our subscription & billing, CRM, and e-commerce ecosystems.
While your reporting home and peer group will be the Product Analytics Team, your day-to-day partnership will be with Product and Engineering leaders across our Monetisation, Business Optimisation, and Revenue Platform teams. You will shape the analytical framework for the group by refining KPIs, maintaining metric consistency, sizing commercial opportunities, and uncovering insights that improve operational efficiency and funnel conversion.
Veo is at an early and exciting stage in establishing a shared understanding of metrics, baselines, and drivers. You will play a key role in ensuring robust instrumentation and tracking, and in building reusable, goal-aligned metrics that create clarity and consistency across teams. What You Will Do:

  • Work with data across Zuora, Salesforce, and our e-commerce platform to surface clear insights, define and monitor key revenue metrics, and quantify commercial and operational opportunities.
  • Partner with our e-commerce (Monetisation) team to refine KPIs, improve funnel and conversion visibility, ensure accurate tracking, and and uncover insights that inform our self-service purchase flows and overall checkout performance.
  • Define, implement, and maintain the metrics that align with product and revenue goals - ensuring they’re reusable, well-documented, and widely understood across teams and departments.
  • Conduct deep-dive analyses to validate revenue and product opportunities
  • Oversee proper tracking for product features. Validate, test, and document analytics events to ensure accurate and consistent data collection.
  • Collaborate with Product and Engineering to establish experimentation methods, test design, and instrumentation requirements for revenue-related initiatives.
  • Ensure all relevant teams - product, marketing, engineering, etc. - have access to meaningful insights that guide decision-making and align with our business objectives.
  • Work alongside data engineering to improve dbt models and pipeline clarity.

What You Could Bring

  • 5+ years of professional experience in a data analytics role, ideally within SaaS, sports technology, or other analytics-driven products.
  • Solid experience with setting up event tracking and instrumenting features (we use Segment).
  • Experience working with subscription and billing systems (e.g., Zuora), CRM tools (e.g., Salesforce), and familiarity with e-commerce data.
  • Proven ability to handle ad-hoc requests, manage stakeholder expectations, and deliver actionable insights.
  • Strong experience based knowledge in SQL and Python (or similar language).
  • Acumen on product intuition.
  • Experience with BigQuery, Steep/Count (BI tools), Amplitude, Segment or similar tools is a plus.
  • Commercial mindset with the ability to translate ambiguous revenue questions into clear analytical recommendations.
  • Track record of translating complex analyses into actionable recommendations.
  • Experience setting up and running experiments.
  • Full professional proficiency in English.
Apply Now

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