Senior Data Analyst - Subscription & Retention Insights

Minute Media

Greater London

Híbrido

GBP 70.000 - 100.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Hybrid work model
Cycle to Work
Private Health Insurance
WellHub access
DEI events

Descripción de la vacante

Minute Media is seeking a senior data analyst/scientist to analyze the subscription funnel, monitor engagement metrics, and build predictive models for LTV and churn in a hybrid London-based role.

You will collaborate with Growth, Marketing, Product, and Engineering to ensure accurate data capture, develop insightful dashboards, and translate findings into concrete recommendations for content and marketing decisions.

Formación

  • 5+ years in data analysis/science focusing on user lifecycle, retention, or subscription metrics.
  • Strong SQL skills and ability to query/manipulate large cloud data warehouses.
  • Experience building/maintaining data pipelines and transformed raw event logs into analytics-ready datasets.
  • Proficient in BI tools and dashboards to track KPIs over time (Looker Studio preferred).
  • Knowledge of cohort analysis, regression, churn modeling, and experimentation.

Responsabilidades

  • Analyze subscription funnel end-to-end to identify drop-offs and sign-up bottlenecks.
  • Monitor subscription/user engagement metrics via dashboards; own trend analyses.
  • Perform deep-dives on user retention and translate insights into actionable recommendations.
  • Present insights to stakeholders, highlighting valuable users and drivers of engagement.

Conocimientos

Advanced SQL
Looker Studio
Python or R
Data pipelines
A/B testing & experimentation
Analytics storytelling

Educación

B.S./B.A. in Statistics, Economics, Business, CS, or related

Herramientas

Looker Studio

Descripción del empleo

Minute Media is seeking a senior data analyst/scientist to analyze the subscription funnel, monitor engagement metrics, and build predictive models for LTV and churn in a hybrid London-based role.

You will collaborate with Growth, Marketing, Product, and Engineering to ensure accurate data capture, develop insightful dashboards, and translate findings into concrete recommendations for content and marketing decisions.

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