Lead Product Analyst, Multi-User Access

Wise

Greater London

In loco

GBP 75.000 - 115.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Paid annual holiday
Sick days
Parental leave
Sabbatical after 4 years

Descrizione del lavoro

Wise is seeking a Lead Product Analyst to join the Wise Business Squad. You will derive insights from data to guide the Business Account Management product area, focusing on Multi-User Access and team-based scaling for larger customers.

Own data-driven decision making, develop KPIs and narratives, and create automated data pipelines and dashboards to empower teams across Wise globally.

Competenze

  • ,5+ years of analytical roles
  • Expertise in SQL with large datasets
  • Experience building automated data pipelines (DBT/Airflow)
  • Experience running A/B tests and analyzing results
  • Strong dashboard/visualisation skills
  • Excellent communication and stakeholder management
  • Bias to action and independent work style

Mansioni

  • Derive actionable insights from data to steer product strategy.
  • Set goals, define KPIs, and communicate progress stories.
  • Identify high-impact opportunities and champion better alternatives.
  • Ensure fast, high-quality decision making with robust analysis.
  • Build automated data pipelines and dashboards for self-serve analytics.
  • Own cross-team projects from tactical to strategic decisions, including risk and pricing insights.

Conoscenze

SQL
DBT / Airflow
A/B testing
Data pipelines
Dashboards
Storytelling with data
Stakeholder management
Independent ownership

Strumenti

DBT
Airflow

Descrizione del lavoro

Wise is seeking a Lead Product Analyst to join the Wise Business Squad. You will derive insights from data to guide the Business Account Management product area, focusing on Multi-User Access and team-based scaling for larger customers.

Own data-driven decision making, develop KPIs and narratives, and create automated data pipelines and dashboards to empower teams across Wise globally.

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