Продуктовый аналитик

Smartcat is building an AI-powered platform that transforms the multilingual content industry by enabling enterprises to combine human expertise with digital AI teammates for scalable global communication and localization.

• Partner primarily with Product leadership while also supporting strategic initiatives from the Office of the CEO;
• Work AI-first by enabling Scout and other AI teammates to handle analytics requests autonomously rather than building dashboards and pulling reports by hand;
• Identify what it takes to answer recurring analytical questions, build the data and logic behind it, and teach the system to do it reliably;
• Tackle complex analytical problems including investigating product hypotheses, uncovering hidden growth opportunities, challenging assumptions with data, and proposing better ways to analyze the business;
• Help stakeholders reason about their data instead of just delivering reports.

• 5+ Years of experience in Product Analytics, Product Intelligence, Growth Analytics, or related analytical roles;
• Proven experience supporting Product organizations in SaaS or technology companies;
• Demonstrated track record of driving business outcomes through analytics and insights;
• Experience working in fast-paced, high-growth startup environments;
• Advanced SQL proficiency including complex joins, window functions, query optimization, Common Table Expressions, and large-scale data analysis;
• Experience with Business Intelligence platforms such as Looker, Omni, Grafana, or similar modern BI tools;
• Ability to build and maintain scalable dashboards and reporting systems;
• Demonstrated Adoptive or Transformative level of AI fluency with experience in redesigning analytical workflows, automating repetitive reporting processes, building AI-assisted research and analysis systems, leveraging multiple AI tools, and applying AI beyond simple prompting to create measurable business impact;
• Exceptional analytical and problem-solving abilities with strong business judgment and curiosity;
• Excellent communication skills with the ability to tailor insights for technical and non-technical audiences;
• Ability to influence stakeholders through data-driven recommendations and work independently with significant ownership;
• Experience collaborating across Product, Revenue, Customer Success, and Engineering organizations;
• Experience working with distributed global teams across multiple time zones;
• Nice to have: Python experience for data analysis, basic understanding of Machine Learning concepts.

• Global remote-friendly team operating across multiple countries and time zones with a hub-and-spoke model anchored in eight key locations;
• Opportunity to work in a high-growth AI native organization scaling rapidly post-Series C.