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 clients across a wide range of industries. Acting as the bridge between business stakeholders and technical teams, you ensure a shared understanding of priorities, requirements and outcomes while helping to make data products reliable, discoverable and business-driven.
At Datashift, AI helps us do better work. We use it every day to speed up our analysis, find insights faster and add more value for our clients. It is part of how we work, not a separate specialty. We are looking for someone who is keen to do the same: someone who uses AI to improve their own work and helps client data teams adopt AI in a safe and practical way.
The ideal candidate combines strong analytical capabilities with a value-driven and ownership-oriented mindset. You thrive in cross-functional environments, enjoy translating complexity into clarity and are motivated by creating measurable business impact by working closely together with the involved stakeholders.
Key Responsibilities
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Understand business needs and challenges, and identify how data can drive impactful solutions. Translate business problems into data-driven questions and leverage AI to accelerate requirements gathering, analysis and documentation.
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Identify the optimal data product solution that balances benefit and cost, ensuring it meets business needs effectively.
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Perform source-to-target mapping and design semantic data models, partnering with data engineers to deliver scalable, high-quality data products that meet business needs.
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Ensure the required source data is captured and meets quality standards by effectively managing data contracts with application owners and process experts.
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Manage the data product backlog for a specific data domain, prioritizing tasks based on value and alignment with business goals.
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Promote data democratization by enhancing data accessibility and usability through comprehensive documentation, internal marketing and training of the data product catalog.
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Oversee the lifecycle and lineage of data products, ensuring they remain accurate, relevant, and aligned with business objectives while continuously exploring AI-driven opportunities to improve data products and ways of working.
Skills & Qualifications
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At least 2 years of experience in a similar role (e.g. data analyst, business analyst, functional analyst, data product owner, …);
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Experienced in data analysis & interpretation (e.g. SQL/Python, familiar with BI tooling, …);
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First experience in data management: data catalog mgt, data modelling, data quality assessments, source to target analysis, data contracts, etc.;
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Quick learner and pragmatic solution thinker: quickly grasp the business context, processes, and challenges, and effectively translate them into the right data product requirements;
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Strong problem-solving skills and value-driven mindset to optimize cost-benefit balance of proposed data solutions;
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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;
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Effective stakeholder management: communicate seamlessly with both technical and non-technical audiences;
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Curiosity about AI and a pragmatic, hands-on mindset to apply it in everyday work. Comfortable experimenting with AI tools to boost productivity and quality, guiding others on their adoption journey;
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Experience working Agile methodologies (e.g., scrum, kanban), Agile tooling (e.g. JIRA, Azure DevOps) and documentation tooling (e.g. Confluence);
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Experience with data cataloging tooling (e.g. Collibra, Datahub) is a plus;
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A passion for managing data as a product;
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Fluent in English, and preferably also Dutch.
What We Offer
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Exciting growth path: a clear opportunity to evolve into a data product owner
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Diverse client portfolio: work on end-to-end data product initiatives across industries, gaining exposure to cutting-edge projects.
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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.
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Learning & development: continuous support for professional development, including training on data product management and emerging technologies.
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A collaborative environment with top-tier professionals to inspire and challenge you.
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The tools and support to put AI to work in your daily consulting practice and to keep growing your AI fluency.
Why join us over internal roles?
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Variety of challenges: work with multiple clients, industries, and unique data landscapes.
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Accelerated growth: advance faster by gaining diverse experience and moving from analyst to product ownership.
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Innovation first: leverage best practices in data governance, data democratization, and data product management methodologies. Stay ahead in a fast changing market.
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Work-life flexibility: a consulting environment that balances on-site client engagement with remote work opportunities.
Interested?
Don't hesitate to apply!
