Product Analyst - DoiT

About DoiT

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state — from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

The Opportunity

We’re hiring a Product Operations Analyst to strengthen how R&D decisions are made at DoiT and to help drive our AI transformation across the organization.

This role is built for someone who cares deeply about business results, not just the data itself. You care about the customers we serve and use AI tools, data, and voice of the customer systems as tools to improve how we discover, define, build, mature, and iterate our products.

Reporting to the Head of Product Operations and part of the Product and R&D organization, this is a high-impact individual contributor role suited for someone with strong data, analytics, and AI experience who enjoys building scalable processes and working cross-functionally.

Responsibilities

1) Product Measurement & Instrumentation

Support and evolve the framework and systems that turn product behavior into trusted, actionable signals:

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

2) Analytics & Data Foundations

Strengthen the product analytics ecosystem and data models that power decision-making:

• Work within our 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.
• Help structure and analyze Voice of the Customer inputs (e.g., support, churn, NPS, sales feedback, customer interviews).
• Support data quality through testing, monitoring, documentation, and automation.
• Deploy the best AI tooling available to make our data a differentiator.

3) Insight Generation & Reporting

Translate product usage and customer signals into clear, actionable insights:

• Deliver recurring product analytics reporting (adoption, engagement, retention).
• Contribute to analytics readouts to business stakeholders and executives with clear findings and recommendations.
• Perform analyses that connect product behavior to revenue and retention outcomes.
• Support automated reporting and AI-assisted workflows while maintaining metric integrity.
• Strive to make insights and reporting automated and self-service, heavily assisted through best practices with emerging AI techniques.

Qualifications

• 5+ years of experience in product analytics or related roles. Experience working closely with digital product teams and influencing decisions through data.
• AI-First mentality. Must have a practical understanding of how AI is reshaping analytics workflows, including experience using AI to accelerate insight generation, documentation, and distribution with proper guardrails.
• Systems thinker & operator's mindset. Track record of building systems that scale across many groups.
• A “Builder” mindset. Instinct to create, solve, and build paths that may not exist today.
• Comfort operating in ambiguity. Ability to prioritize, structure problems, and execute independently.
• Clear communicator. Experience presenting analysis to product managers and business stakeholders.
• Strong analytical foundation. Advanced SQL required. Experience with event-based analytics, Mixpanel, Looker, Segment, and dbt.
• Domain familiarity (preferred). Exposure to public cloud environments (AWS, GCP, Azure), FinOps/cloud cost management, and enterprise SaaS.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program