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 and analyze 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 backlog for 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 lineage of data products, ensuring they remain accurate, relevant, and aligned with business objectives.

Skills & Qualifications

• At least 2 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-solving skills 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.

What We

• OfferExciting 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.

Why join us over internalroles?

• 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 ownerschip.
• 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.

Interested?Don't hesitate to apply via the link below!