Product Analyst

Location

Our Product Operations Analyst - Product Analytics will be an integral part of our Global Product Management team.

This role is based remotely in the East US, the UK, Ireland, Sweden, the Netherlands, Estonia and Israel.

Who We Are
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.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

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.

You’ll operate at the intersection of product, data, AI, and customer insight helping build and maintain the measurement and analytics foundations that ensure our product investments are grounded in reliable signals and real customer needs.

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.

As DoiT’s product portfolio grows, clear measurement and structured customer insight become increasingly important. This role helps ensure that product decisions are informed, measurable, and aligned with business outcomes, enabling the team to build with greater confidence and focus.
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

Outcome: Product teams have reliable data to evaluate performance and make informed decisions.
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

Outcome: Product data is systematically consistent, accessible, and trusted.
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 recommendation