出海雷达

远程-产品分析师

Remote - Product Analyst

其他全球可投(据职位描述推断)
公司Torrero
薪资未公开
工作地点Worldwide
地域资格全球可投(据职位描述推断)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间17 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

欢迎来到Torrero——一站式前沿白标赌场、体育博彩解决方案和B2B聚合服务。我们以信任和合规为基础,自豪地提供来自多样化供应商的8000+款游戏,使Torrero成为转型iGaming企业的首选合作伙伴。拥有大量体育赛事和便捷的支付方式,我们满足多样化的兴趣需求。支持35+种语言,我们让游戏全球可及。
如果你喜欢快节奏、充满活力的创业文化,有热情和积极的心态,欢迎加入我们。这是一个参与公司快速成长和业务扩展的绝佳机会。
你的职责包括:

  • 分析赌场和体育博彩垂直领域的产品表现和用户行为,识别趋势、风险和增长机会。
  • 定义、跟踪并优化关键产品KPI(留存率、转化率、ARPU、LTV、流失率等)。
  • 构建仪表盘和报告,为产品、市场和运营团队提供数据驱动决策支持。
  • 对玩家旅程、游戏表现、优惠和促销活动进行深入分析。
  • 与产品经理紧密合作,评估功能影响、A/B测试和新版本发布。
  • 识别客户漏斗中的瓶颈,并提出可行的改进方案。
  • 与数据工程师和数据分析师协作,确保数据准确性、一致性和可用性。
  • 将复杂的数据洞察转化为清晰的业务建议。
  • 支持用户分群和个性化策略,提升用户体验和收入。
  • 监控iGaming领域的竞争对手趋势和行业基准。
  • 你需具备以下技能:
  • 在iGaming、金融科技或高流量数字产品领域,有产品分析师/数据分析师的实战经验。
  • 精通SQL,有处理大数据集的经验。
  • 有使用BI工具(如Tableau、Power BI、Looker或类似工具)的经验。
  • 熟悉产品指标、用户行为分析和实验(A/B测试)。
  • 有使用基于事件的分析工具(如GA4、Amplitude、Mixpanel)的经验者优先。
  • 理解赌场/体育博彩机制、玩家生命周期和变现模型者是优势。
  • 具备分析思维,有强大的问题解决能力和细致的工作态度。
  • 能够用英语进行工作沟通。
查看英文原文

Welcome to Torrero – all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 8,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With a huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
If you like a fast-paced, dynamic and start-up work culture full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
Your responsibilities include:

  • 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.

Your expertise to meet the requirement:

  • 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.

We offer:

  • 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

Hiring Stages:

  • Introductory Call
  • Technical Round with Hiring Manager
  • Job offer

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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