Remote Product Analytics Analyst | AI-Driven Insights

Attribute; Netherlands; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Unlimited Vacation

Flexible Working Options

Health Insurance

Parental Leave

Employee Stock Option Plan

Home Office Allowance

Professional Development Stipend

Peer Recognition Program

Job summary

DoiT seeks a Product Operations Analyst to strengthen how R&D decisions are made and to drive AI transformation across the organization. You will work at the intersection of product, data, AI, and customer insight to build measurement foundations that ground product investments in reliable signals.

The role emphasizes building scalable analytics, leveraging tools like Mixpanel, Looker, Segment, and dbt, and partnering across cross-functional teams to turn data into actionable business outcomes.

Qualifications

• 5+ years of experience in product analytics or related roles.
• AI-first mentality with practical AI for analytics workflows.
• Systems thinker & builder mindset capable of scaling across teams.
• Comfort operating in ambiguity and executing independently.
• Clear communicator of analyses to product teams and stakeholders.

Responsibilities

• Product Measurement & Instrumentation: define taxonomy, dashboards, metrics.
• Analytics & Data Foundations: manage analytics stack and dbt models.
• Insight Generation & Reporting: deliver analytics, tie findings to outcomes.

Skills

5+ years product analytics

Advanced SQL

Mixpanel

Looker

Segment

dbt

AI tooling

Voice of the Customer

Data quality/testing

Builder mindset

Systems thinker

Ambiguity tolerance

Clear communicator

Tools

Mixpanel

Looker

Segment

dbt

Job description

DoiT seeks a Product Operations Analyst to strengthen how R&D decisions are made and to drive AI transformation across the organization. You will work at the intersection of product, data, AI, and customer insight to build measurement foundations that ground product investments in reliable signals.

The role emphasizes building scalable analytics, leveraging tools like Mixpanel, Looker, Segment, and dbt, and partnering across cross-functional teams to turn data into actionable business outcomes.