Remote Product Data Analyst

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Deel

πŸ“Remote - Europe, Middle East, and Africa

Job highlights

Summary

Join Deel, a global payroll and compliance market leader, in building a generational platform that connects companies with talent worldwide. As a Product Analyst, you will collaborate with cross-functional teams to create actionable insights, monitor product performance, and develop data models. With a strong background in computer science or related fields, experience in product analytics, and proficiency in SQL and BI tools, you will drive business impact through your insights.

Requirements

  • Bachelor Degree in Computer Science, Math, Statistics, Economics or equivalent degree
  • 5+ years’ experience in product analytics team
  • Hands on experience in at least one modern BI tools (preferably Looker)
  • Proficiency in SQL and product analytics tools (mixpanel / heap / amplitude)
  • Solid experience with Data Modelling (DBT)
  • Excellent multitasking and problem-solving abilities
  • Effective communication skills and experience dealing with stakeholders of varying seniority

Responsibilities

  • Collaborate closely with Product Managers, Product Operations and Dev teams on different problems to create actionable insights
  • Monitor product and feature release performance, define baselines, success metrics and provide recommendations for optimisation
  • Develop/apply extensive domain knowledge in your dedicated product areas in order to proactively derive meaningful recommendations and insights that drive and inform product strategy
  • Analyse market data, identify customer behaviour and trends
  • Help design and evaluate A/B tests to improve customer journeys
  • Create and promote effective self-service analytics infrastructure for your product areas
  • Develop user friendly dashboards and high quality data visualisations that drive actions and support decision making
  • Explore large and complex datasets to create actionable insights
  • Build data models in dbt with the support of Analytics Engineers to create the cleanest data structures and KPIs for your product areas
  • Make intelligent choices for the adoption of new technologies based on your extensive experience
  • Contribute to the development and growth of fellow product analysts by proactively sharing knowledge, providing mentoring, etc

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