Product manager

Coffee Analytics is a data-driven consultancy specializing in analytics, business intelligence, machine learning, and big data solutions. The company partners with clients in retail and e-commerce, logistics and transportation, as well as marketing and advertising to help them make better, evidence-based decisions. Coffee Analytics transforms complex data into clear insights that support strategic planning and operational improvements. Team members collaborate closely with clients to design and implement scalable, modern data platforms and analytic workflows.

• The Product Manager will oversee the lifecycle of data and analytics products, from discovery and requirements gathering through development, launch, and iteration.
• Defining product vision and roadmap.
• Prioritizing and refining the backlog.
• Coordinating cross-functional work among data scientists, engineers, consultants, and stakeholders.
• Conducting market and user research.
• Analyzing product performance metrics.
• Translating business needs in retail, logistics, and marketing into clear product features and user stories.
• Preparing product documentation.
• Supporting go-to-market activities.
• Ensuring timely delivery of high-quality solutions that align with client objectives.

• Demonstrated experience in product management or a closely related role, preferably within analytics, business intelligence, or SaaS environments.
• Strong skills in requirements gathering, roadmap planning, and backlog management, with the ability to translate complex business problems into clear product features.
• Solid understanding of data and analytics concepts, such as dashboards, KPIs, machine learning workflows, and data pipelines; ability to collaborate effectively with technical teams.
• Experience working with clients or internal stakeholders in sectors such as retail and e-commerce, logistics and transportation, or marketing and advertising.
• Proficiency in using product and project tools (e.g., JIRA or similar, documentation and collaboration platforms, basic data visualization or BI tools).
• Strong analytical and problem-solving abilities, including comfort with interpreting quantitative data and product performance metrics to guide decisions.
• Clear and concise communication skills, with the ability to present product concepts and findings to both technical and non-technical audiences.
• Ability to work effectively in a hybrid environment, manage time independently, and collaborate within cross-functional, multicultural teams.
• Bachelor’s degree in a relevant field such as business, computer science, engineering, economics, or a related discipline.
• Fluency in English and Russian, both written and spoken, to coordinate with local and international stakeholders.
• Будет плюсом: advanced degree is an advantage

• Условий в вакансии нет