Product Analyst-Poland (Remote)

DoiT is a global technology company specializing in cloud-driven business growth and innovation. They provide solutions integrating advanced technology with human intelligence, focusing on multicloud environments including Kubernetes, GenAI, and CloudOps. They are an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, serving over 4,000 customers worldwide.

• 5+ years of experience in product analytics or related roles
• Practical understanding of AI reshaping analytics workflows and experience using AI for insight generation, documentation, and distribution
• Systems thinker with an operator's mindset and track record of building scalable systems
• Builder mindset with the ability to create solutions in ambiguous environments
• Strong communication skills for presenting complex analysis to diverse stakeholders
• Advanced SQL proficiency
• Experience with event-based analytics and familiarity with tools such as Mixpanel, Looker, Segment, and dbt
• Preferred domain familiarity with public cloud environments (AWS, GCP, Azure), FinOps/cloud cost management, and enterprise SaaS concepts

Product Measurement & Instrumentation:

• Partner with Engineering to define and maintain event taxonomy, tracking standards, and instrumentation quality
• Build and maintain scalable, self-service dashboards for product teams
• Establish and document clear metric definitions as a shared source of truth
• Contribute to improving metrics as the product evolves
• Leverage AI to unlock insights and recommendations from product signals

Analytics & Data Foundations:

• Work within product analytics stack (e.g., Mixpanel, Segment, Looker) to ensure accurate and accessible reporting
• Build and maintain dbt models for core product entities and behaviors
• Contribute to a clean, usable metric layer for business stakeholders
• Structure and analyze Voice of the Customer inputs (support, churn, NPS, sales feedback, customer interviews)
• Support data quality through testing, monitoring, documentation, and automation
• Deploy AI tooling to differentiate data usage

Insight Generation & Reporting:

• Deliver recurring product analytics reporting (adoption, engagement, retention)
• Present analytics readouts with clear findings and recommendations to stakeholders and executives
• Analyze connections between product behavior and revenue/retention outcomes
• Support automated reporting and AI-assisted workflows while maintaining metric integrity
• Automate insights and reporting with emerging AI techniques