Data Product Analyst

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 acts as a liaison between business users and technical teams, ensuring mutual understanding. The data product analyst plays a critical role in ensuring that data products are reliable, discoverable, and business\-driven.

The ideal candidate is value\-oriented, has strong analytical capabilities, and thrives in cross\-functional environments. 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 management stakeholder alignment.

Key Responsibilities

• Understand business needs and challenges, and identify how data can drive impactful solutions. Translate business problems into data\-driven questions to gather andanalyze data product requirements


• Identify the optimal data product solution that balances benefit and cost, ensuring it meets business needs effectively


• Collaborate closely with data experts (e.g., engineers, scientists, and insights analysts) to ensure data products are implemented, meet usability and scalability criteria, and deliver tangible business value


• Ensure the required source data is captured and meets quality standards by effectively managing data contracts with application owners and process experts


• Manage the data product backlogfor a specific data domain, prioritizing tasks based on value and alignment with business goals


• Promote data democratization by enhancing data accessibility and usability through comprehensive documentation, internal marketing and training of the data product catalog


• Oversee the lifecycle and lineageof data products, ensuring they remain accurate, relevant, and aligned with business objectives

• At least 4 years of experience in a similar role (e.g. data analyst, business analyst, functional analyst, data product owner, …);


• Experienced in data analysis \& interpretation (e.g. SQL/Python, familiar with BI tooling, …);


• First experience in data management: data catalog mgt, data modelling, data quality assessments, source to target analysis, data contracts, etc.;


• Quick learner and pragmatic solution thinker: quickly grasp the business context, processes, and challenges, and effectively translate them into the right data product requirements;


• Strong problem\-solvingskills and value\-driven mindset to optimize cost\-benefit balance of proposed data solutions;


• Ability to understand the end\-to\-end (data) flow from source data to target data product, with the capacity to zoom in on granular details and zoom out to see the bigger picture;


• Effective stakeholder management: communicate seamlessly with both technical and non\-technical audiences;


• Experience working Agile methodologies (e.g., scrum, kanban), Agile tooling (e.g. JIRA, Azure DevOps) and documentation tooling (e.g. Confluence);


• Experience with data cataloging tooling (e.g. Collibra, Datahub) is a plus;


• 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


• 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. Unlike internal roles, you will gain exposure to multiple organizations and industry best practices.


• Learning \& development: continuous support for professional development, including training on data product management and emerging technologies.


• A collaborative environment with top\-tier professionals to inspire and challenge you.

• Variety of challenges: work with multiple clients, industries, and unique data landscapes.


• Accelerated growth: advance faster by gaining diverse experience and moving from analyst to product ownership.


• Innovation first: leverage best practices in data governance, data democratization, and data product management methodologies. Stay ahead in a fast changing market.


• Work\-life flexibility: a consulting environment that balances on\-site client engagement with remote work opportunities.

Don't hesitate to apply via the link below!

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