Lead of Data Analytics (Marketplace)

Lead of Data Analytics

Прямой работодатель Larixon classifieds ( larixon.com )

Тимлид/Руководитель группы Аналитика, Data Science, Big Data • Data Analysis 14 апреля Удаленная работа
Опыт работы более 5 лет Работодатель Larixon classifieds Короткая ссылка: geekjob.ru/hiMP Откликнуться Описание вакансии

About the Role

As we continue to scale our business, we’re looking for a strongLead of Analytics to build and lead our analytics function — ensuring data becomes a strategic driver of product growth, operational excellence, and business performance across all regions. As Lead Analytics at Larixon, you will be responsible for building, scaling, and leading the analytics team and you will play a key role in driving data-informed decisions across our product teams. You will define analytics strategy, establish data governance standards, develop scalable frameworks for experimentation and reporting, and ensure that product and business decisions are grounded in reliable, high-quality data. This role combines hands-on expertise with strategic leadership. You will work closely with C-level stakeholders and product leadership to align analytics initiatives with company-wide goals and long-term growth strategy.

What You’ll Do

Strategic Leadership & Operating Model

• Define and execute the company-wide analytics strategy aligned with OKRs and business priorities.
• Build, lead, and scale a high-performing analytics team, including hiring, mentoring, role design, capacity planning, performance management, and career development (IC and Lead tracks).
• Establish a goal-oriented operating model focused on measurable business outcomes rather than ad-hoc reporting.
• Foster a culture of data-informed decision-making with clear ownership, fast feedback loops, and accountability for impact.
• Design and implement structured decision-making loops: metric → hypothesis → experiment/analysis → decision → impact monitoring , ensuring insights translate into action.
• Own the company-wide metrics system, including the North Star metric and KPI hierarchy, with clear definitions, governance, ownership, and a single source of truth.

Product, Growth & Business Impact

• Partner with Product and Business leadership to define KPI systems across markets and product areas.
• Identify growth opportunities across user funnels, engagement, monetization, retention, and marketplace dynamics.
• Provide strategic insights into user behavior and cross-market performance differences.
• Oversee experimentation strategy and A/B testing methodology, ensuring statistical rigor and scalable processes.
• Define when to run or skip experiments, set guardrails, conduct SRM checks, define power/MDE standards, and establish clear interpretation principles.
• Maintain consistent metric definitions across regions while aligning local and global analytics approaches.

Analytics Infrastructure & Data Governance

• Design scalable analytics architecture and metric layers (semantic layer, data marts) enabling reliable self-serve analytics.
• Own tracking governance: event taxonomy, analytics specifications, documentation, and data definitions.
• Ensure high data quality standards, tracking accuracy, dataset reliability, and reduce time-to-insight.
• Contribute to the development of product-specific analytical datasets in collaboration with Data Engineering.

Stakeholder & Executive Collaboration

• Act as a strategic partner to Product, Marketing, Operations, and Leadership teams.
• Translate complex analytical insights into clear narratives, structured trade-offs, and actionable recommendations for C-level stakeholders.
• Lead decision forums by clarifying options, expected impact, and ensuring post-decision outcome tracking.
• Build dashboards and executive reporting systems focused on enabling decisions rather than passive reporting.

What We Expect

• 6+ years of experience in data, product or business analytics, including at least 1–2 years in a leadership role.
• Proven ability to lead analytics through outcomes/OKRs: shaping goals, prioritizing initiatives, and managing team capacity.
• Strong executive communication: can explain complex analytics in simple terms with clear conclusions, recommendations, and trade-offs.
• Demonstrated impact: examples where insights changed product/business decisions and improved key metrics (growth, monetization, retention, unit economics).
• Proven ability to build decision-making loops: metric → hypothesis → experiment/analysis → decision → impact monitoring.
• Strong metrics ownership : experience implementing North Star / KPI tree, metric definitions, governance, and ownership model.
• People management maturity: performance reviews, mentoring, leveling, and career development (IC/Lead tracks).
• Experimentation governance expertise: guardrails, SRM checks, power/MDE, and clear interpretation principles (beyond “just running A/B tests”).
• Ownership mindset: proactive, independent, and accountable for results — not just deliverables.
• Strong expertise in SQL and modern data stacks (ClickHouse, Postgres are strong advantages).
• Advanced experience with Python (pandas, polars, statistical libraries) for deep analytical work.
• Proven experience designing and scaling A/B testing frameworks and experimentation culture.
• Strong understanding of marketplace economics, user funnels, retention, and monetization metrics.
• Experience building dashboards and executive-level reporting systems (Superset or similar BI tools).
• Ability to design tracking systems and write high-quality technical specifications.
• Strong communication skills with the ability to influence senior stakeholders.
• Comfortable working in English (B1+ or higher).
• Background in mathematics, statistics, economics, computer science, or related fields.
• Remote not from Russia or Belarus

Nice to Have

• Experience in international multi-market products.
• Experience scaling analytics in high-growth digital companies.
• Knowledge of causal inference methods and advanced statistical modeling.
• Experience working closely with data engineering teams on data architecture design.
• AI - ambassador.

We Offer You

• Participation in international projects with millions of users.
• Direct impact on strategic decisions and product team development.
• A modern tech stack and professional tools.
• A team of professionals from Big Tech: Yandex, Ozon, Raiffeisen, MTS, Avito.
• Flexible schedule and remote-friendly work format.
• Competitive salary, discussed individually.
• Corporate training and career development opportunities.
• Medical insurance after the probation period.
• 20 working days of vacation per year + 8 additional days off.
• A birthday day off.
• Additional bonuses for important life events (wedding, childbirth, etc.).

Специализация
Аналитика, Data Science, Big Data
Отрасль и сфера применения
Data Analysis
Уровень должности
Тимлид/Руководитель группы

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