Product Analyst-Romania (Remote)

DoiT is a global technology company specializing in cloud solutions, leveraging cloud-driven organizations for business growth and innovation. They are an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, serving over 4,000 customers worldwide. The role is part of the Global Product Management team and focuses on product analytics within the cloud and AI-driven contexts.

• 5+ years of experience in product analytics or related roles with exposure to digital product teams and data-driven decision making
• Practical understanding of AI's impact on analytics workflows and experience using AI to accelerate insight generation and documentation
• Systems thinker with a track record of building scalable systems
• Builder mindset, proactive in creating solutions and processes
• Comfortable operating in ambiguity and collaborating cross-functionally
• Strong communication skills to translate complex analysis into actionable recommendations
• Advanced SQL skills
• 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

1. 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
• Improve measurement as product evolves
• Leverage AI for insights and recommendations

2. Analytics & Data Foundations:

• Work with product analytics tools (e.g., Mixpanel, Segment, Looker)
• Build and maintain dbt models for core product entities and behaviors
• Maintain clean metric layers for business stakeholders
• Analyze Voice of the Customer inputs (support, churn, NPS, sales feedback, interviews)
• Support data quality via testing, monitoring, documentation, and automation
• Deploy AI tooling for data differentiation

3. Insight Generation & Reporting:

• Deliver regular product analytics reporting (adoption, engagement, retention)
• Present analytics readouts with findings and recommendations to stakeholders and executives
• Perform analyses linking product behavior to revenue and retention
• Support automated reporting and AI-assisted workflows
• Strive for automated, self-service insights using emerging AI techniques