Product Lead/Product Owner (BI Reporting)

Product Ownership

• Product ownership of Backlog of Analytics Module
• Define the product vision and strategy for Reporting & Analytics.
• Own and prioritize the product roadmap and backlog.
• Translate client and business needs into product requirements, user stories, and analytical capabilities.
• Lead product discovery together with clients, internal stakeholders, and Product Owners.
• Identify the key reporting and analytical jobs-to-be-done for Operators.
• Define reporting UX, workflows, drill-down capabilities, filters, exports, and self-service analytics.
• Work closely with Product Design and Engineering to deliver intuitive reporting experiences rather than simply exposing raw data.
• Define requirements for data availability, freshness, granularity, performance, and accuracy from a product perspective.
• Drive the Reporting module through the full product lifecycle: discovery → prioritization → delivery → adoption → measurement → iteration.
• Define product KPIs for the Reporting & Analytics module, including adoption, usage, engagement, performance, and customer value.
• Collect client feedback and usage data to continuously improve the module.

Product Analytics for the Product Department

• Build and own the product analytics framework used by Product Owners across the organization.
• Define a consistent framework for measuring product performance.
• Establish standard product metrics and measurement principles.
• Build dashboards and analytical tools for: feature adoption and usage funnels and conversion retention and cohorts engagement monetization product and feature performance.
• Partner with Product Owners to define success metrics before development starts.
• Ensure major product releases and initiatives have appropriate measurement plans.
• Support Product Owners with hypothesis validation and feature impact analysis.
• Help teams distinguish between output metrics and actual product/business outcomes.
• Enable Product Owners to independently access and interpret the data required for everyday product decisions.

Experimentation & Product Discovery

• Develop a systematic approach to experimentation and evidence-based product development.
• Establish an A/B testing and experimentation framework.
• Define standards for hypotheses, experiment design, success metrics, statistical interpretation, and post-experiment analysis.
• Support Product Owners in designing experiments and evaluating results.
• Use behavioral and product data to identify new product opportunities and pain points.
• Combine quantitative analytics with qualitative insights from clients and users.
• Promote continuous discovery based on product data rather than ad-hoc reporting requests.

BI Strategy & Data Architecture

• Define and execute BI strategy across the company.
• Partner with Data/Engineering teams to ensure that the underlying data foundation supports both client-facing reporting and internal product analytics.
• Define business and product requirements for analytical data models.
• Establish consistent metric definitions and ownership.
• Ensure a single source of truth for critical product and business metrics.
• Define requirements for data quality, availability, freshness, and traceability.
• Identify gaps in tracking and instrumentation and drive their resolution with Engineering.
• Ensure new features include appropriate analytics instrumentation as part of their delivery.
• The role is expected to own analytical requirements and product outcomes, rather than act as the sole data engineer or dashboard developer.

Leadership & Team Building

• Hire and manage BI / Analytics team.
• Collaborate cross-functionally with Product, Finance, CRM, and Tech.

• Russian language proficiency is mandatory
• 3+ years in analytics / BI roles, including leadership experience
• Strong understanding of product management practices, including: product discovery, roadmap and backlog prioritization, requirements definition
• Strong understanding of BI concepts, data modeling, metric definitions, and reporting architecture.
• Experience with BI and visualization tools; Microsoft Power BI experience is a plus.
• Experience in iGaming, fintech, marketplaces, or other high-volume transactional B2B products is a strong advantage.

• 20 vacation days and 5 family days yearly
• Flexible start to the workday
• Support from a professional corporate coach and psychologist
• Regular internal and external activities, workshops, trips, and corporate events
• Access to our internal knowledge base, meetups, and team-building activities
• Ongoing training in new technologies and continuous professional development support