Product Analyst (Igaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Analyst (Igaming): Shaping product performance measurement and driving decision-making for the Sportsbook team with an accent on defining KPIs, scaling analytics methods, and analyzing A/B test outcomes. Focus on synthesizing data from diverse sources to optimize customer journeys and inform product roadmaps through actionable data insights.
Location: Lisbon, Portugal
Company
is a global GameTech company powering the Betano brand, operating across 20 markets with over 2,700 employees.
What you will do
- Define, monitor, and report on KPIs and product metrics to support the Sportsbook product roadmap.
- Analyze A/B test results and expand internal experimentation frameworks to improve product features.
- Implement GA4 tagging to map user journeys and identify customer pain points.
- Synthesize data from transactional lakes and various sources to build actionable dashboards and visualizations.
- Ensure data quality, consistency, and governance across all analytics initiatives.
- Collaborate with product, design, and engineering teams throughout the product lifecycle to inform strategy and prioritization.
Requirements
- 2+ years of experience in product analytics within a consumer internet business.
- Proficiency in SQL for data manipulation and analysis.
- Experience assessing A/B experiments using platforms like Kameleoon or Optimizely.
- Strong skills in GA4 and visualization tools like Looker Studio.
- Ability to balance priorities independently and communicate insights clearly to stakeholders.
- Strong analytical, detail-oriented, and customer-centric mindset.
Nice to have
- Previous experience in the sports betting industry.
- Proficiency with PowerBI.
- Familiarity with Databricks or similar big data platforms.
Culture & Benefits
- Member of a certified Great Place to Work organization.
- Work in a diverse, global team with over 40 nationalities.
- Focus on cutting-edge technology and high-velocity product development.
- Exposure to large-scale data and millions of global customers.
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