Data Product Analyst

ppAre you passionate about driving value from data and turning it into actionable insights? Join our dynamic data consulting team as a bData Product Analyst /b, 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 bdata products reliable, discoverable and business-driven. /b /p pAt 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: bsomeone who uses AI to improve their own work and helps client data teams adopt AI in a safe and practical way. /b /p pThe 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 bcreating measurable business impact by working closely together with the involved stakeholders. /b /p h3Key Responsibilities /h3 ul liUnderstand 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. /li liIdentify the optimal data product solution that balances benefit and cost, ensuring it meets business needs effectively. /li liPerform source-to-target mapping and design semantic data models, partnering with data engineers to deliver scalable, high-quality data products that meet business needs. /li liEnsure the required source data is captured and meets quality standards by effectively managing data contracts with application owners and process experts. /li liManage the data product backlog for a specific data domain, prioritizing tasks based on value and alignment with business goals. /li liPromote data democratization by enhancing data accessibility and usability through comprehensive documentation, internal marketing and training of the data product catalog. /li liOversee 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. /li /ul h3Skills Qualifications /h3 ul liAt least 2 years of experience in a similar role (e.g., data analyst, business analyst, functional analyst, data product owner, etc.). /li liExperienced in data analysis interpretation (e.g., SQL/Python, familiar with BI tooling, etc.). /li liFirst experience in data management: data catalog management, data modelling, data quality assessments, source to target analysis, data contracts, etc. /li liQuick learner and pragmatic solution thinker: quickly grasp the business context, processes, and challenges, and effectively translate them into the right data product requirements. /li liStrong problem‑solving skills and value‑driven mindset to optimize cost‑benefit balance of proposed data solutions. /li liAbility 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. /li liEffective stakeholder management: communicate seamlessly with both technical and non‑technical audiences. /li liCuriosity 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. /li liExperience working Agile methodologies (e.g., scrum, kanban), Agile tooling (e.g., JIRA, Azure DevOps) and documentation tooling (e.g., Confluence). /li liExperience with data cataloging tooling (e.g., Collibra, Datahub) is a plus. /li liA passion for managing data as a product. /li liFluent in English, and preferably also Dutch. /li /ul h3What

We Offer
/h3 ul liExciting growth path: a clear opportunity to evolve into a data product owner. /li liDiverse client portfolio: work on end‑to‑end data product initiatives across industries, gaining exposure to cutting‑edge projects. /li liConsulting 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. /li liLearning development: continuous support for professional development, including training on data product management and emerging technologies. /li liA collaborative environment with top‑tier professionals to inspire and challenge you. /li liThe tools and support to put AI to work in your daily consulting practice and to keep growing your AI fluency. /li /ul h3Why join us over internal roles? /h3 ul liVariety of challenges: work with multiple clients, indu