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Lead Data Strategist
2 weeks ago
We are seeking an experienced professional to lead the design, implementation, and optimization of a robust data warehousing platform for the pharmaceutical industry.
Main Responsibilities:- Data Modeling: Design logical and physical data models to ensure efficient data storage and retrieval.
- ETL Processes: Develop and optimize ETL processes to accurately and efficiently move data from various sources into the data warehouse.
- Infrastructure Design: Plan and implement the technical infrastructure, including hardware, software, and network components.
- Data Governance: Ensure compliance with regulatory standards and implement data governance policies to maintain data quality and security.
- Performance Optimisation: Continuously monitor and improve the performance of the data warehouse to handle large volumes of data and complex queries.
- Semantic Layer Definition: Define and manage the semantic layer architecture and technology stack to manage the lifecycle of semantic constructs including consumption into downstream systems.
- Common Data Layer Management: Integrate data from multiple sources into a centralized repository, ensuring consistency and accessibility.
The ideal candidate will have strong expertise in data modeling, ETL processes, and infrastructure design, as well as experience with data governance and regulatory compliance in the life sciences sector. Proficiency in using data management products is required.
Required Skills and Qualifications:- Strong knowledge of data modeling and ETL processes.
- Experience with data governance and regulatory compliance.
- Proficiency in using data management products.
- Ability to work in a team environment.
The successful candidate will have the opportunity to work on a high-profile project and contribute to the growth and success of the organization.
Benefits:- Competitive salary and benefits package.
- Ongoing training and development opportunities.
- Flexible working hours and remote work options.
