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STEP 1:

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Careers

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STEP 2:

Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.

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🤖 What you will do

• Partner with Product Managers, Data Scientists, and Business Leaders to identify key product and business questions;

• Conduct exploratory and deep-dive analysis to uncover user behavior patterns, product opportunities, and operational bottlenecks;

• Translate insights into actionable recommendations and business consultation for product teams, growth initiatives, and monetization strategies;

• Design and evaluate A/B tests and key product experiments; ensure that results are statistically sound and actionable;

• Define, monitor, and own core product metrics and success indicators (DAU, retention, engagement, CTR, conversion, etc.);

• Build and maintain dashboards and BI systems for performance tracking and decision support;

• Write efficient SQL/Python to extract, clean, and transform data from large-scale datasets;

• Collaborate with data engineering to improve data pipelines, tracking frameworks, and documentation.

👾 What you will need

• 3+ years of experience as a Product Analyst/Data Analyst / BI Analyst, preferably in large-scale or consumer-facing products;

• Hands-on experience with hypergrowth or data-rich environments (10M+ users) is a strong plus;

• Excellent command of SQL for large-scale data querying and performance optimization;

• Strong Python or R skills for statistical analysis, data processing, and visualization;

• Experience with BI tools (Superset, Metabase, Tableau, Grafana, Power BI, Looker, etc.);

• Deep understanding of A/B testing methodologies, causal inference, funnel analysis, and product metric design;

• Ability to transform complex data into clear, actionable insights for stakeholders;

• Familiarity with data pipeline concepts, and comfort working with Data Engineering and Data Science teams;

• Strong product thinking and curiosity — able to ask the right questions, explore the unknown, and connect data to product context;

• Excellent communication and storytelling — able to consult and influence business decisions through data;

• Ownership mindset, growth-oriented, and comfortable in fast-paced, ambiguous environments.