WHO WE ARE IS WHAT WE DO.

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.
Among the largest globally distributed companies in the world, our team of 6,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

QUALIFICATIONS

• 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
• Experience with Snowflake and LookML is a plus

• 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
• Analyze market data, identify customer behavior 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 visualizations 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.