MAKE HISTORY WITH US!   

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

Role overview:

The GBS Data and Analytics team is composed of individual doers and collaborators working passionately to apply cutting-edge advances in technology to solve real-world problems. As a data modeler in this group, you will work directly with architects and engineers in creating and optimizing data models to translate complex business data into usable computer systems. You are expected to support the enhancement of data governance, quality, and accessibility, ultimately empowering our organization to make data-driven decisions and achieve strategic objectives.  

Your ‘day to day’

•    Designing and implementation of data models to support data products design and delivery while ensuring compliance to the PMI Data Modeling standards 
•    Documenting full data lineage and data mapping rules. 
•    Provide data architecture for analytics and business intelligence. 
•    Optimizing and Maintaining Warehouse: Continuously improve the performance and scalability of the data warehouse, implementing optimization techniques and best practices. 
•    Mindset focused on reusability, scalability and end-to-end ownership. 
•    Effective communication skills that include documentation of design, build and test procedure, and maintenance.  
•    Problem-Solving: Leveraging innovative approaches to optimize processes and enhance data quality. 
•    Proactive Role: Actively anticipate and resolve potential data issues before they escalate, demonstrating a proactive approach to data. 

Who we’re looking for

•    Graduated in (Business) Informatics, IT, computer science or a related field. 
•    3 + years of experience in data architecture, relational modeling and multidimensional modeling – modeling notations, Cobb model rules, conceptual to logical to physical data models 
•    Proficient in SQL and in using a cloud-based data warehousing platform such as Snowflake. 
•    Experience in using data modeling platform such as Power Designer. 
•    Experience in leveraging a data dictionary platform such as Atlan or Collibra 
•    Familiarization in master data and reference data concepts. Experience in MDM platform such as SAP-MDG is a plus. 
•    Working knowledge of data engineering activities mainly ETL pipeline development 
•    Technical and business documentation writing expertise. Proven examples of documenting data mapping and transformation processes described in pseudo-code. 
•    Domain knowledge – Finance, Commercial, Consumer etc. 

Please note that only online applications will be taken into consideration. Only selected candidates will be contacted.

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