Growth & Experimentation Lead — AI-Powered Analytics

FyrFly Venture Partners

México

A distancia

MXN 1.357.000 - 1.809.000

Jornada completa

Hace 4 días
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Descripción de la vacante

LawnStarter is seeking a data analyst dedicated to Growth and Experimentation. You will own the experimentation program, design tests with rigorous power and significance checks, and oversee the acquisition-to-conversion funnel across paid, organic, and partner channels.

The role emphasizes self-serve analytics, AI-enabled tooling, and close collaboration with Growth PMs. Expect hands-on scoping of tests in early months and a path toward automated dashboards and a scalable analytics layer that

Formación

  • SQL expertise for experiment design and analytics.
  • Proficiency in Python for automation and stat-sig math.
  • Experience with dbt and Lightdash for self-serve dashboards.
  • Ability to design rigorous experiments with power calculations.
  • Familiarity with AI tooling for analytics workflows.

Responsabilidades

  • Design experiments and power calculations; ensure significance and readouts meet standards.
  • Own self-serve experimentation layer and automate metrics in Lightdash; extend AI tooling.
  • Develop instrumented Growth funnel model across channels and brands.
  • Build analytics playbooks and influence testing decisions with CRO and Growth PMs.

Conocimientos

SQL
Python
Experiment design
Statistical rigor
dbt and Lightdash
AI tooling
Data storytelling
Cross-functional collaboration

Herramientas

Lightdash
dbt
Python-backed tools
Claude routines
Segment events
Flagsmith

Descripción del empleo

LawnStarter is seeking a data analyst dedicated to Growth and Experimentation. You will own the experimentation program, design tests with rigorous power and significance checks, and oversee the acquisition-to-conversion funnel across paid, organic, and partner channels.

The role emphasizes self-serve analytics, AI-enabled tooling, and close collaboration with Growth PMs. Expect hands-on scoping of tests in early months and a path toward automated dashboards and a scalable analytics layer that

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