Data Product Strategist
il y a 7 jours
Data is at the heart of every business. As a Data Product Strategist at Datashift, you will play a critical role in driving value from data and turning it into actionable insights for our clients.
The ideal candidate is passionate about managing data as a product and has a strong analytical background. You will work closely with technical teams to ensure that data products are reliable, discoverable, and business-driven.
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.
- Collaborate closely with data experts (e.g., engineers, scientists, and insights analysts) to ensure data products meet usability and scalability criteria.
- 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 and internal marketing.
- Oversee the lifecycle and lineage of data products, ensuring they remain accurate, relevant, and aligned with business objectives.
- At least 2 years of experience in a similar role (e.g. Data Analyst, Business Analyst, Functional Analyst).
- 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.
- Quick learner and pragmatic solution thinker: quickly grasp the business context, processes, and challenges.
- 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.
- A collaborative environment with top-tier professionals to inspire and challenge you.
- 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.
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