Senior Product & Retention Analytics Lead

Félix

Córdoba

Presencial

ARS 181.337.000 - 272.006.000

Jornada completa

Hace 8 días
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Stock options
Annual performance bonus
Health, dental, and vision plans
Unlimited PTO
Paid parental leave
Growth opportunities

Descripción de la vacante

Félix is seeking a highly analytical and business-oriented Product & Retention Analytics Manager to lead a multidisciplinary team across Chat, Retention, AI, and Operations. You will map KPIs, identify friction points, and translate data into actions that improve conversion, retention, and operational efficiency.

This role sits at the intersection of Data, Product, and Customer Experience, demanding a strong ability to raise the analytical bar and partner with stakeholders to drive measurable

Formación

  • 6+ years of experience in Data Science, Analytics, Product Analytics, or related field.
  • Strong SQL skills and experience with large datasets.
  • Ability to define and monitor product metrics, funnels, retention and experimentation.

Responsabilidades

  • Lead a multidisciplinary analytics team across Chat, Retention, AI, and Operations.
  • Build dashboards and analytical frameworks to monitor funnel performance.
  • Translate data into actionable product recommendations and experiments.
  • Partner with Product, Operations, Growth and Fintech teams to prioritize initiatives with measurable impact.
  • Raise analytical standards and drive data-driven decision making across the org.

Conocimientos

Data Analytics
SQL
Amplitude
Product metrics

Herramientas

Amplitude
Omni BI
Mixpanel

Descripción del empleo

Félix is seeking a highly analytical and business-oriented Product & Retention Analytics Manager to lead a multidisciplinary team across Chat, Retention, AI, and Operations. You will map KPIs, identify friction points, and translate data into actions that improve conversion, retention, and operational efficiency.

This role sits at the intersection of Data, Product, and Customer Experience, demanding a strong ability to raise the analytical bar and partner with stakeholders to drive measurable

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