Product Analyst

Requirements:

• At least 2 year of experience in IT company working with product analytics;
• Hands on experience with data;
• Business and Analytical mindset;
• Ability to coordinate multiple tasks, set and negotiate priorities;
• Research and conclude on results of A/B tests and product improvements;
• SQL and Python knowledge would be a plus;
• Practical experience with data visualisation tools like Tableau, PowerBI, Looker, etc;
• Experience with Google Analytics;
• Experience in delivering analytical solutions for complex product-related tasks (user pattern research, supporting experiments, feature analysis to improve the product metrics, use-cases analysis, etc.);
• Driven by creating business value than the complexity of the technical solution;
• Intermediate or higher English level.

We offer:

• Being a part of an international team focused on excellence in product development;
• High-level compensation and regular performance-based salary and career development reviews;
• Flexible schedule and opportunity to work whether in a large comfortable office located in a city centre or remote;
• Opportunities for professional development and personal growth;
• Unlimited paid vacations and sick leaves;
• Medical insurance;
• Support from colleagues and automatization of time-consuming processes;
• Compensation for courses, conferences, workshops, etc.;
• Summer corporate retreat and regular team-buildings;
• Sports activities;
• Referral program;
• Free corporate English lessons;

* and if you’re also a cat lover, it’s 100% match.

Responsibilities:

• Participate in project architecture and design creation;
• Provide A/B testing of new product features: design, evaluation and the most important — recommendations based on conducted analysis;
• Analytics coverage during A/B tests;
• Track metrics and find points of growth/bottlenecks — we are truly data-driven and that is how we grow;
• Deep dive on user behavior: product funnels, customer journey, activity cycles;
• Generate hypothesis and testing to improve product retention and monetization;
• Present analysis results to the team in an understandable manner;
• Analyze product and marketing data to answer business questions, discover insights, develop new metrics, build dashboards, and describe patterns;
• Help in designing, implementation, and analysis of new features aimed at improving our product;
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.