Product Analyst
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Job Description
Product Operations Analyst advancing AI-powered product analytics and AI transformation at DoiT, a global cloud technology company. Building trusted metrics, dashboards, data models, and customer-insight systems.
Responsibilities:
- Support and evolve product measurement frameworks and systems
- 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 approaches as the product evolves
- Use AI to generate insights and recommendations from product signals
- Strengthen the product analytics ecosystem and data models
- Use Mixpanel, Segment, Looker, or similar tools 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, including support, churn, NPS, sales feedback, and customer interviews
- Support data quality through testing, monitoring, documentation, and automation
- Deploy AI tooling to improve data capabilities
- Deliver recurring product analytics reporting on adoption, engagement, and retention
- Present analytics readouts to business stakeholders and executives with findings and recommendations
- Analyze connections between product behavior, revenue, and retention outcomes
- Support automated reporting and AI-assisted workflows while maintaining metric integrity
- Make insights and reporting automated and self-service using emerging AI techniques
Requirements:
- 5+ years of experience in product analytics or related roles
- Experience working closely with digital product teams and influencing decisions through data
- Practical understanding of how AI is reshaping analytics workflows
- Experience using AI to accelerate insight generation, documentation, and distribution
- Understanding of AI guardrails, trust, and safe operationalization
- Track record of building systems that scale across many groups
- Ability to create, solve, and build paths where processes, systems, tools, data, or buy-in are missing
- Ability to prioritize, structure problems, and execute independently while collaborating across teams
- Experience presenting analysis to product managers and business stakeholders
- Ability to translate complex findings into actionable recommendations
- Advanced SQL required
- Experience with event-based analytics
- Familiarity with Mixpanel or similar tools
- Familiarity with Looker or similar BI tools
- Familiarity with Segment or similar tools
- Familiarity with dbt
- Exposure to public cloud environments, FinOps/cloud cost management, and enterprise SaaS concepts preferred
Benefits:
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
- Flexible schedule balancing work and home life
- Remote work
- Professional and personal skills development support
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