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Senior Product Analyst – Identity

Drive data-informed decisions across identity, authorization, and early user journey by leading analytical initiatives focused on funnel performance, cost efficiency, and strategic adoption. Leverage strong product analytics expertise to optimize authentication flows, reduce operational costs, and improve conversion from install to superapp usage.

Key Responsibilities

  • Lead analytics initiatives across identity, authorization, and onboarding flows, with a focus on conversion, cost efficiency, and user experience
  • Analyze the end-to-end authorization and onboarding funnel to identify drop-off points, behavioral patterns, and improvement opportunities
  • Conduct in-depth SMS cost decomposition and estimate the impact of optimization initiatives
  • Research, design, and evaluate alternative confirmation methods and authorization scenarios, including switchback experiments and A/B tests
  • Define and assess the economic efficiency of authorization methods, balancing conversion, reliability, and cost
  • Drive analytical research for the install
  • superapp adoption funnel, identifying levers to improve early user engagement and product choice
  • Formulate hypotheses, design experiments, and evaluate the impact of changes on key product and business metrics
  • Partner closely with product, engineering, marketing, and operations teams to translate insights into actionable product decisions
  • Build and maintain dashboards, reports, and analytical self-serve tools for product and business stakeholders

Skills, Knowledge and Expertise

  • 3+ years of experience as a Product Analyst, Data Analyst, or in a similar analytical role
  • Strong product analytics mindset with the ability to independently structure ambiguous problems and prioritize high-impact initiatives
  • Advanced SQL skills and hands-on experience working with large-scale datasets
  • Strong practical experience using Python for data analysis, including complex data transformations, exploratory analysis, and metric computation
  • Solid understanding of product funnels, onboarding flows, and user decision-making scenarios
  • Experience designing and analyzing experiments (A/B testing, scenario comparison)
  • Proficiency with BI and visualization tools (e.g., Tableau, Looker, Redash)
  • Strong communication skills with the ability to clearly explain insights to both technical and non-technical stakeholders

Conditions

  • Stable salary, official employment
  • Health insurance
  • Hybrid work mode and flexible schedule
  • Access to professional counseling services, including psychological, financial, and legal support
  • Discount club membership
  • Diverse internal training programs
  • Partially or fully paid additional training courses
  • All necessary work equipment

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