Title: Data Platform Specialist (CDP)
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Location: Spain (hybrid)
Contract Type: Indefinite
Duties and Responsibilities
The Data Enablement Specialist for the Customer Data Platform (CDP) will play a crucial role in ensuring that an organisation’s data is effectively utilised and leveraged for marketing activation. This role collaborates with cross‑functional teams to ensure that the right data is ingested into the CDP in a way that aligns with business needs. The specialist will work closely with business stakeholders to comprehend their use cases and translate them into actionable requirements.
The role requires an understanding of data models, architecture, dataset transformations, and success metrics to support the CDP’s data infrastructure and its impact on business outcomes.
The Data Enablement Specialist for CDP also supports power users to ensure they have access to all the necessary data for segmentation and marketing activation purposes.
Main Challenges
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- Data Modelling and Architecture Understanding: The specialist must be well‑versed in data modelling principles and understand the architecture of the CDP.
- Effective Communication and Collaboration: Close collaboration with different stakeholders is essential for successful data enablement.
- Data Transformations: The specialist should be skilled in transforming raw data into usable formats.
- Success Metrics: Understanding and measuring the impact of data enablement efforts on business outcomes.
- Empowering Power Users: Ensuring that power users have the necessary tools and access to leverage data effectively.
- Data Readiness for Marketing Automation: Ensuring that the CDP is prepared from a data perspective to support marketing automation.
Requirements
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- Bachelor's degree in business, computer science, engineering or similar.
- Excellent communication and project management skills.
- Understand data technologies like data warehouses, databases, and data lakes.
- Understanding of content, context and capabilities related to data enablement.
- Understanding of data architecture and modelling linking those to business needs.
- Data‑driven decision‑making. Use data for informed decision‑making by collecting and analysing relevant information. xhfqzwm
- Problem‑solving skills.
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