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
 a
 nd 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, a
 nd deliver tangible business value.
- Ensure the required source data is captured and meets quality standards by effective
 ly 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
 t
 he lifecycle and lineage
 of data products, ensuring they remain accurate, relevant, and aligned with business objectives.
Skills & Qualifications
- At le
 ast 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 min
 dset 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 in
 to 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 va
 lues 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 chal
 lenges: 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 flexi
 bility: a consulting environment that balances on-site client engagement with remote work opportunities.
Interested?
Don't hesitate to apply via the link below
                    
                    
                    
                    
                    
                    
                        
                        
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