Product Analyst

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Torrero

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🎲 Gambling

🤝 B2B

Gambling • B2B • Payments

Torrero is a B2B iGaming platform provider that builds bespoke white-label and turnkey casino and sportsbook solutions. The company offers an in-house platform and CMS, an API casino games aggregator, payments integrations, KYC and risk services, multilingual customer support, data and management tools, and licensing/hosting options to deliver end-to-end products for gaming operators.

📋 Description

• Analyze product performance and user behavior across casino and sportsbook verticals to identify trends, risks, and growth opportunities. • Define, track, and optimize key product KPIs (retention, conversion, ARPU, LTV, churn, etc.). • Build dashboards and reports to support data-driven decision-making for Product, Marketing, and Operations teams. • Conduct deep-dive analyses on player journeys, game performance, bonuses, and promotional campaigns. • Work closely with Product Managers to evaluate feature impact, A/B tests, and new releases. • Identify bottlenecks in the customer funnel and propose actionable improvements. • Collaborate with Data Engineers and Data Analysts to ensure data accuracy, consistency, and availability. • Translate complex data insights into clear business recommendations. • Support segmentation and personalization strategies to enhance user experience and revenue. • Monitor competitor trends and industry benchmarks within the iGaming space.

🎯 Requirements

• Proven experience as a Product Analyst / Data Analyst, preferably in iGaming, fintech, or high-traffic digital products. • Strong SQL skills and experience working with large datasets. • Experience with BI tools (e.g., Tableau, Power BI, Looker, or similar). • Solid understanding of product metrics, user behavior analysis, and experimentation (A/B testing). • Experience working with event-based analytics tools (e.g., GA4, Amplitude, Mixpanel) is a plus. • Understanding of casino/sportsbook mechanics, player lifecycle, and monetization models is a strong advantage. • Analytical mindset with strong problem-solving skills and attention to detail. • Ability to communicate insights clearly to both technical and non-technical stakeholders. • Fast learning ability and innovative mindset. • Experience in Python or statistical tools is a plus.

🏖️ Benefits

• Fully remote job - work from anywhere you want • Flexible working hours • Competitive compensation • 28 paid days off per year • 3 paid sick days a year without medical certificate • Seniority leave • Birthday Day off • Real career opportunities and professional growth • The great team across the world