Data Product Analyst: AI-Driven Insights & Impact

Datashift

Antwerpen

Hybride

EUR 52 000 - 76 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Growth path
Diverse client portfolio
Consulting environment
Learning & development
Collaborative team
AI in daily practice

Résumé du poste

Datashift is seeking a Data Product Analyst to bridge business and technical teams, turning data into reliable, business-driven products for clients across industries.

You will own data products, manage backlogs, and promote data democratization, with exposure to AI-enabled analytics and agile practices. This role requires strong stakeholder management and practical data governance experience.

Qualifications

  • 2+ years in data/BI roles.
  • Strong data analysis & interpretation, SQL/Python, BI tooling familiarity.
  • Experience in data management: cataloging, modeling, quality, data contracts.

Responsabilités

  • Understand business needs and translate them into data-driven questions and requirements.
  • Identify optimal data product solutions balancing value and cost.
  • Design semantic data models and work with data engineers on scalable products.
  • Ensure data quality by managing data contracts with owners and process experts.
  • Manage the data product backlog for a domain, prioritizing by value.
  • Promote data democratization with documentation, training, and catalog visibility.
  • Oversee lifecycle and lineage of data products and explore AI-driven improvements.

Connaissances

Data product ownership
SQL
Python
Data modeling
Data governance
Stakeholder management
AI in analytics
Data cataloging

Outils

JIRA
Azure DevOps
Confluence

Description du poste

Datashift is seeking a Data Product Analyst to bridge business and technical teams, turning data into reliable, business-driven products for clients across industries.

You will own data products, manage backlogs, and promote data democratization, with exposure to AI-enabled analytics and agile practices. This role requires strong stakeholder management and practical data governance experience.

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