Lead Product Analytics & Monetization — Remote

Yazio

Guillena

Remoto

EUR 70.000 - 110.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

MacBook
€1,000 learning budget
Remote-friendly
Vacation 30 days
5 sick days for children

Descrizione del lavoro

Yazio, a nutrition app serving millions of users globally, seeks a senior analytics leader to manage a squad of analysts and own monetization analytics in a remote-first setup. You’ll balance hands-on work with leadership, shaping data-driven decisions across product and engineering teams.

In this role you’ll ensure data quality, build reusable data products, and guide experiments that optimize conversion and revenue while maintaining a strong data culture across the org.

Competenze

  • Proven experience leading analysts in a mobile product squad.
  • Strong track record in event tracking, funnel & user journey analysis.
  • Extensive experience with A/B testing and experimentation methodologies (Bayesian & frequentist).
  • Builds and enforces data quality regimes across ingestion, transformation, and reporting.

Mansioni

  • Lead a small team of analysts embedded in product squads.
  • Own monetization analytics and tracking for new features and experiments.
  • Maintain data quality standards across data production and reporting layers.
  • Develop self-serve datasets and drive data-driven decision making for PMs and engineers.

Conoscenze

SQL
Python
dbt
Event tracking
A/B testing
Experimentation
Funnel analysis
Data quality

Strumenti

Snowflake
Dagster
GrowthBook
Omni
Prefect
Claude

Descrizione del lavoro

Yazio, a nutrition app serving millions of users globally, seeks a senior analytics leader to manage a squad of analysts and own monetization analytics in a remote-first setup. You’ll balance hands-on work with leadership, shaping data-driven decisions across product and engineering teams.

In this role you’ll ensure data quality, build reusable data products, and guide experiments that optimize conversion and revenue while maintaining a strong data culture across the org.

Ottieni la revisione del curriculum gratis e riservata.

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