Optimization Product Analyst

You will analyze payment datasets, identify trends and optimization opportunities, deliver recommendations, and drive scalable improvements. You will build analytics solutions, automation pipelines, and self-service tools, lead A/B tests and investigations, collaborate with product and commercial stakeholders, communicate insights, and support analytical best practices.

Responsibilities

  • Analyze large-scale payment datasets to identify performance trends and optimization opportunities
  • Deliver recommendations to customers and drive scalable opportunities across the merchant base
  • Design and build scalable analytics solutions automation pipelines and self-service tools
  • Partner with Product Data and Commercial teams to develop analytical solutions
  • Lead A/B tests and data investigations
  • Synthesize complex data into narratives for technical and non-technical audiences
  • Support knowledge-sharing and analytical best practices

Requirements

  • 3–5 years of relevant experience in data analytics data science or a similar role
  • Python
  • SQL
  • PySpark
  • Large-scale data processing
  • ETL and data pipelines
  • Data validation
  • Spark
  • Airflow
  • Git
  • Looker or Tableau
  • Dashboard development
  • Statistics
  • Hypothesis testing
  • Data mining
  • Cross-functional collaboration
  • Stakeholder management
  • Communication
  • Data storytelling

Benefits

  • RSUs

See also

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