продуктовый аналитик for AI Commerce

Von Halsky is a modern AI Commerce service developed to support e-Commerce through data-driven product decisions, user behavior analysis, and experimentation.

• Support the Product Manager by analyzing data and drawing business-relevant conclusions;
• Analyze user behavior based on event data;
• Design, define, and develop analytical events;
• Define short-term goals supporting product development;
• Ask and answer strategic business questions arising from product development;
• Monitor key product and business metrics and identify optimization areas;
• Analyze user journeys and conversion funnels;
• Collaborate with Product Managers, UX, and technology teams on designing and implementing new features;
• Verify the impact of new solutions on business goals, product growth, and user experience;
• Create dashboards, reports, and data visualizations supporting product development;
• Formulate data-based conclusions and recommendations and present them to stakeholders;
• Lead and support experiment and A/B test analyses.

• Have 2–3 years of experience in a similar role, such as Product Analyst, Data Analyst, or a related position;
• Hold a higher education degree in statistics, econometrics, Big Data, computer science, data science, mathematics, economics, sociology, or a related field;
• Have very good knowledge of SQL and experience working with relational and columnar databases;
• Know Python well enough for data analysis and work automation;
• Have experience with BI tools and data visualization, preferably Power BI;
• Know product analytics, event analytics, or web/app analytics;
• Can work with large datasets and draw practical business conclusions;
• Have experience collaborating with product and technology teams and business partners;
• Have good knowledge of MS Office, including Excel and PowerPoint;
• Communicate effectively and present analysis results to non-technical audiences;
• Have English proficiency sufficient for fluent communication and working with documentation;
• Nice to have: experience analyzing web or mobile applications, knowledge of product analytics tools, experience with A/B testing and experiment analysis, knowledge of Databricks, Spark, or cloud environments, interest in AI solutions and SaaS products for e-Commerce.

• Employment under an employment contract;
• Work on the development of an innovative, modern AI product supporting e-Commerce;
• Cafeteria benefits system with options such as Multisport, private medical care, store vouchers, and tickets to sports and music events;
• Opportunities for career development within the company;
• Opportunities to expand skills and gain new competencies;
• Partnership-based collaboration.