Data Product Analyst
il y a 9 heures
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 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.
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