Data Insights Manager
il y a 3 jours
As a Data Insights Manager at Datashift, you will be responsible for driving business value from data and turning it into actionable insights. You will act as a liaison between business users and technical teams, ensuring mutual understanding and playing 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. They 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.
- 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.
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