Director, Revenue Analytics

🕒 3 dias atrás

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

GitLab

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2014

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

💰 Secondary Market em 2020-11

Consulting • Marketing • Artificial Intelligence

O GitLab é uma plataforma completa de DevOps, entregue como uma única aplicação, que transforma fundamentalmente a forma como os times de Desenvolvimento, Segurança e Ops colaboram e desenvolvem software. Da ideia à produção, o GitLab ajuda os times a reduzir o tempo de ciclo de semanas para minutos, diminuir os custos de desenvolvimento e o time to market, ao mesmo tempo em que aumenta a produtividade dos desenvolvedores.

Descrição

• Lead and develop the Revenue Analytics team, setting analytics standards and building scalable capabilities • Support AI self-serve initiatives within the Field through certified data sets, semantic layers, and metric definitions • Lead a team building insights via AI tooling and legacy BI solutions • Own the analytics roadmap across sales, customer success, and professional services • Develop and support forecasting, pipeline, capacity, and predictive models • Build customer lifecycle analytics for onboarding, product adoption, engagement, churn risk, expansion, NRR, and GRR • Provide strategic leadership on metrics, insights, and data for migration to a consumption-based business model • Create recurring executive artifacts, integrated reporting, attribution models, and strategic analyses • Partner with executive leaders and cross-functional teams to turn business questions into recommendations • Establish data governance and reporting frameworks for reliable executive, board, and external reporting

🎯 Requisitos

• Experience leading analytics teams and developing team members in sales, customer, revenue operations, business intelligence, or consulting environments • Knowledge of B2B SaaS business models, sales processes, and revenue metrics across the customer lifecycle • Experience with consumption-based metrics and business models • Ability to develop strategic analytics roadmaps, translate complex data into clear insights, and influence executive-level decisions • Experience with customer success analytics, including health scoring, churn prediction, NRR and GRR analysis, segmentation, and expansion analytics • Experience with sales and professional services analytics, including forecasting, revenue planning, utilization, project profitability, and services-led growth metrics • Ability to work with large, complex datasets to develop analytical frameworks for resource allocation, capacity planning, and customer outcomes • Advanced proficiency with AI tools (Claude, OpenAI, Gemini), BI tools (Tableau, Hex, Omni), SQL, data modeling, statistical analysis, and predictive modeling • Familiarity with customer data platforms, product analytics tools such as Gainsight or Pendo, services management systems, and other BI platforms is a plus

🏖️ Benefícios

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave