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Staff Data Analyst

Gitlab·Bangalore, Indiasenior

In short

  • →Analista de datos senior que transforma datos en decisiones estratégicas para soporte técnico global.
  • →Día a día: crea dashboards, analiza costos por ticket, mide impacto de IA y previene churn con modelos predictivos.
  • →Destacado: liderazgo en medir el ROI de la adopción de IA dentro del equipo de soporte.

Fluency in English is required for collaboration across global teams.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

The questions they'll ask you

1. ¿Cómo has diseñado un dashboard de rendimiento para soporte técnico en un entorno SaaS?

2. ¿Qué métricas usarías para evaluar el impacto de la IA en reducir tiempos de ticket?

3. ¿Cómo estructurarías un modelo para predecir el riesgo de churn en clientes de soporte?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

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💵 USD · Remote · No visa

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What they ask for

  • ✓Experiencia como analista de BI o en rol similar en SaaS.
  • ✓Conocimiento profundo de SQL (joins, CTEs, agregaciones).
  • ✓Experiencia con herramientas de BI como Zendesk Explore, Tableau o Looker.
  • ✓Capacidad para traducir preguntas ambiguas en estructuras analíticas.
  • ✓Habilidades de comunicación claras para públicos técnicos y no técnicos.
  • ✓Experiencia en planificación anual y capacidad de gestión de recursos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLZendesk ExploreTableauLookerGitLabAIdata modelingdashboardingpredictive analyticscustomer churn modeling

Who should you write to at Gitlab?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do • Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. • Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time. • Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs. • Develop performance indexes and heatmaps that identify product areas and customers using the most support resources. • Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering. • Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers. • Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth. • Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis. What you'll bring • Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company. • Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations. • Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters. • Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools. • Translate ambiguous business questions into structured analytical frameworks. • Present findings clearly to technical and non-technical stakeholders. • Plan and prioritize work independently in a remote, cross-functional environment across time zones. • You may also bring experience with large language mo

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