Data / Technical Analyst
Nr ref.: LP/DTA/ZD/12
Tasks:
Work directly with business subject matter experts to understand data created by different business processes and translate this knowledge into domain data models
Analyze source system data and data-related system integration challenges to propose appropriate solutions.
Building understanding of information and data models represented in ER or Semantic notations.
Create and maintain conceptual, logical and physical data models using best practices to ensure high data quality and easy integration of different systems
Work with development teams to translate logical data models into physical structures.
Support development teams in optimizing and updating existing solutions.
Work with solution architects to develop the solutions that will address business needs.
Recommend opportunities for reuse of data models in new environments.
Evaluate data models and physical databases for variances and discrepancies.
Review new application designs and recommend corrections if required.
Enhance data analytics pipelines to better fit the need of the business.
Document the requirements (URS,FS) in ALM tool.
Requirements:
- Sufficient experience in data analysis and modeling is required (must)
- Knowledge of Data Architecture (must)
- Exceptional interpersonal skills (direct work with business) (must)
- Fluent English (must)
- Experience with Oracle (must) and other databases
- Understanding of most common Data Warehousing and Data Modelling concepts
- At least basic knowledge in writing and analyzing SQL, PL/SQL
- Knowledge of NoSQL document databases (especially how to analyse XML/JSON files)
- ER modelling (nice to have)
- UML Modelling (nice to have)
- Use of data modeling tools (ER/Studio & SPARX) (nice to have)
- Knowledge of CDIS, HL7 BRIDG or other Pharma standard models (nice to have)
- Data Vault physical modelling (nice to have)
- Ontology modelling (nice to have)
- Pharma Development knowledge (highly desirable)