Senior Product Analyst (Remote) – Data-Driven Growth

Scentbird

United States

Remote

USD 120.000 - 180.000

Vollzeit

Vor 8 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Remote-first
Paid time off
Competitive compensation

Zusammenfassung

Scentbird is seeking a Senior Product Analyst to turn data into actionable plans, working with the Product Analytics Lead. You’ll translate business goals into data requests, dashboards, and reports, and proactively explore data to drive decisions.

You’ll collaborate with Product and cross-functional teams to define metrics and automate reporting, using Looker and other BI tools. Ideal candidates have 3+ years in data analytics, strong statistics and causal inference knowledge, hands-on ML

Qualifikationen

  • 3+ years of data analytics work experience.
  • Experience delivering analytical solutions for complex product tasks (user patterns, experiments, feature analysis).
  • Strong understanding of business value beyond charts.

Aufgaben

  • Roll out data-as-a-service for the Product team to simplify data access and use.
  • Define metrics, plan reports, and automate reporting in Looker.
  • Measure impact of features and experiments on key metrics like conversions and CLV.
  • Conduct ad hoc analyses to uncover root causes and propose action items.
  • Build and maintain analytical tools and AI-enabled automation for the Product team.

Kenntnisse

Data analytics
SQL
Experimentation / A/B testing
Python
BI / Looker
Communication
English proficiency

Tools

GA
Mixpanel
Amplitude
Looker
Tableau

Jobbeschreibung

Scentbird is seeking a Senior Product Analyst to turn data into actionable plans, working with the Product Analytics Lead. You’ll translate business goals into data requests, dashboards, and reports, and proactively explore data to drive decisions.

You’ll collaborate with Product and cross-functional teams to define metrics and automate reporting, using Looker and other BI tools. Ideal candidates have 3+ years in data analytics, strong statistics and causal inference knowledge, hands-on ML

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