AI-Enabled Product Analytics Lead

Remitly

Arlington (VA)

Hybrid

USD 132,000 - 148,500

Full time

14 days+

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Benefits offered by this job

Flexible PTO
Health, dental, vision benefits
401(k) with company match
Employee Stock Purchase Plan (ESPP)
Continued education

Job summary

Remitly in Arlington, VA is seeking a Senior Product Analyst to join the New Products team. You will build financial models, segment customers, and create datamarts and dashboards enabling fast, data-driven decisions.

You will collaborate with Product, Engineering, and Design to define success metrics, run experiments, and apply AI tools to accelerate analysis while delivering clear, actionable insights for leadership.

Qualifications

  • 4+ years in product analytics or related quantitative role (fintech, ecommerce, or consumer financial services preferred).
  • Bachelor's degree in a quantitative discipline or equivalent experience.
  • Experience building business models or financial analyses for new/early-stage products.

Responsibilities

  • Build business models and financial frameworks for new product bets (TAM, unit economics, NPV).
  • Segment customers using behavioral/transactional data to inform GTM strategy.
  • Create and maintain datamarts, dashboards, and metrics frameworks for new products.
  • Implement data quality monitoring and anomaly detection for reliable product decisions.
  • Design and analyze A/B tests; translate results into actionable recommendations.
  • Collaborate with Product and Engineering to define success metrics and post-launch improvements.
  • Leverage AI tools to accelerate analysis and scale insights across workstreams.

Skills

SQL
Python
ETL
Looker
Tableau
Mode
AI tools
Data storytelling

Education

Bachelor's degree in mathematics/economics/engineering/statistics

Tools

Mode
Looker
Tableau

Job description

Remitly in Arlington, VA is seeking a Senior Product Analyst to join the New Products team. You will build financial models, segment customers, and create datamarts and dashboards enabling fast, data-driven decisions.

You will collaborate with Product, Engineering, and Design to define success metrics, run experiments, and apply AI tools to accelerate analysis while delivering clear, actionable insights for leadership.

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