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
Job requirements
Skills & qualifications:
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-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 offer
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.
Why join us over internal roles?
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.