J
Product Analyst
Jobgether
Netherlands
Remote
Intermediate
posted 1 day ago
Vacancy Summary
Join a partner company as a Product Analyst in the Netherlands, focusing on enhancing product and business decisions through data analytics. This role offers the chance to work with AI technologies and collaborate with diverse teams in a global environment.
Required skills
Sql
Automation
Systems thinking
AI tools
Reporting
Analytics
Dbt
Documentation
Data Modeling
Testing
Looker
Instrumentation
Experimentation
cloud environments
Workflows
Monitoring
customer retention
sales
Make
Engineering
Standards
Techniques
Insurance
Data Quality
Production Environment
Teams
Amazon Web Services (AWS)
Interviews
Artificial Intelligence (AI)
Feedback
AWS (SES)
Communication Skills
Design
Dashboards
Analysis
Support
Flexibility
Access
customer orientation
Business Intelligence (BI)
Investment
Accuracy
Health
Clear
Management
Learning
Integrity
Connecting
Alignment
product data
Data models
Operator
Amplitude
Segment
B2B
Influencing
Transformation
Data Visualization
Microsoft Azure
Business Performance
SAAS
Measurement
FinOps
Professional Development
Product Development
Tracking
Product Adoption
NPS
Mixpanel
Metrics
Business Decisions
Use Cases
AI Capabilities
Signals
engagement
Performance Indicators
Customer Insight
English level
Professional
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is seeking a Product Analyst based in the Netherlands. This high-impact role focuses on product analytics to help teams make informed product and business decisions. You will work at the intersection of product, data, AI, and customer insight within a distributed global environment. Your contributions will strengthen the measurement foundations that help teams understand product performance, customer behavior, and business outcomes. You will build scalable analytics systems, trusted metrics, dashboards, data models, and customer insight processes. The role also offers significant scope to apply emerging AI capabilities to automate workflows and accelerate insight generation. You will partner closely with product, engineering, design, data, and business stakeholders while operating with considerable autonomy. Success will mean making analytics more accessible, actionable, automated, and deeply embedded in the product development lifecycle.
Verantwoordelijkheden
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Collaborate with Engineering and Product teams to define and maintain event taxonomies, tracking standards, instrumentation practices, and data quality requirements.
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Create and maintain scalable, self-service dashboards that enable product teams to monitor performance and make informed decisions.
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Establish and document clear definitions for core product metrics, creating a reliable shared source of truth across stakeholders.
•
Continuously improve measurement frameworks as products, customer needs, and business priorities evolve.
•
Utilize AI tools and emerging techniques to generate insights, recommendations, documentation, and analytics workflows more efficiently.
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Work across the product analytics ecosystem, including tools such as Mixpanel, Segment, Looker, and similar platforms, ensuring reporting is accurate, accessible, and actionable.
•
Build and maintain dbt models covering important product entities, behaviors, and analytical use cases.
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Contribute to a clean and usable metric layer that enables business stakeholders to access and understand product data independently.
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Organize and analyze Voice of the Customer signals from sources such as customer support, churn, NPS, sales feedback, and customer interviews.
•
Support data quality through testing, monitoring, documentation, automation, and continuous improvement of analytics processes.
•
Deliver recurring reporting and analysis covering product adoption, engagement, retention, and other relevant performance indicators.
•
Translate product usage and customer signals into clear findings and recommendations for product teams, business stakeholders, and executives.
•
Analyze relationships between product behavior and business outcomes such as revenue and customer retention.
•
Automate reporting and develop AI-assisted workflows while maintaining the accuracy, consistency, and integrity of core metrics.
•
Help make analytics and insights increasingly self-service, reducing manual effort and accelerating access to actionable information.
•
Establish feedback loops that connect customer signals and product analytics with roadmap and investment decisions.
•
Support the broader adoption of AI across Product, Design, and Engineering by identifying opportunities to incorporate data and AI-generated insights throughout the product lifecycle.
•
Build scalable systems and processes that enable analytics capabilities to support multiple teams and evolving business needs.
•
Operate independently in ambiguous situations, structuring problems, prioritizing opportunities, and developing practical solutions where processes or systems do not yet exist.
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