Drive product automation and scenario optimization through data-driven analysis and scalable analytical frameworks. Leverage strong expertise in SQL, Python, and product analytics to identify inefficiencies, improve user journeys, and deliver measurable impact across support and operational processes.
Key Responsibilities
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Drive product analytics initiatives focused on services automation and scenario optimization across user-facing processes
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Analyze user behavior and interactions, and operational flows to identify inefficiencies and opportunities for automation
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Define and monitor key product and operational metrics to measure the impact of automated solutions
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Design analytical frameworks to evaluate support scenarios, decision trees, and user journeys
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Investigate anomalies in support and product metrics, formulate hypotheses, and provide actionable recommendations
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Collaborate with product, support, engineering, and data teams to translate insights into scalable product improvements
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Build and maintain dashboards, reports, and self-serve analytical tools for stakeholders
Skills, Knowledge and Expertise
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3+ years of experience as a Product Analyst, Data Analyst, or in a similar analytical role
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Strong analytical thinking with the ability to structure ambiguous problems and prioritize impact-driven solutions
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Advanced SQL skills and experience working with large datasets
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Hands-on experience with Python for data analysis (e.g., pandas, NumPy)
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Experience with BI and visualization tools (e.g., Tableau, Redash, Plotly, Looker)
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Understanding of product funnels, user journeys, and operational workflows
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Ability to communicate insights clearly to both technical and non-technical stakeholders
Conditions
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Stable salary, official employment
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Health insurance
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Hybrid work mode and flexible schedule
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Access to professional counseling services, including psychological, financial, and legal support
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Discount club membership
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Diverse internal training programs
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Partially or fully paid additional training courses
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All necessary work equipment