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Data Analyst

il y a 2 semaines

Gand, Belgique Datashift Temps plein
Are you passionate about driving value from data and turning it into actionable insights? Join our dynamic data consulting team as a Data Product Analyst, where you will manage data as a product for our clients across various industries. This role bridges the gap between business needs and technical data teams, ensuring data products are reliable, discoverable, and business-driven.

As you grow in this role, you will have the opportunity to evolve into a Data Product Owner, taking ownership of data product vision, strategy, and stakeholder alignment.

Gather and analyze functional requirements to build and manage data products that meet business needs.
Assure data quality and discoverability through effective management of data contracts and processes.
Manage the data product backlog, prioritize based on value, and align with client business goals.
Collaborate closely with engineers, data scientists, analysts, and business stakeholders to develop, deploy, and adopt data products.
Act as the bridge between business and technical teams, translating business priorities into actionable data tasks.
Contribute to data democratization by improving data accessibility and usability across the organization.

Understanding of data platforms, analytics tools, and data governance principles
Ability to align data initiatives with client business objectives
backlog management, sprint planning)
Analytical mindset with attention to detail and a passion for managing data as a product
Fluent in English, and preferably also Dutch

Exciting Growth Path: A clear opportunity to evolve into a Data Product Owner, taking on strategic responsibilities such as roadmap creation, vision alignment, and product adoption.
Diverse Client Portfolio: Work on end-to-end data product initiatives across industries, gaining exposure to cutting-edge projects.
Consulting Edge: Be part of a fast-growing consulting company that values innovation and problem-solving over rigid structures. Learning & Development: Continuous support for professional development, including training on data product management and emerging technologies.
Variety of Challenges: Work with multiple clients, industries, and unique data landscapes.
Contribute to the entire lifecycle of data products - from requirements to adoption.
Innovation First: Leverage best practices in data governance, data democratization, and modern data product methodologies.
A consulting environment that balances on-site client engagement with remote work opportunities.