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No of position :- ( 1 )
Post :- 1st Jan 2025
Applies industry recognized best practices, compliance standards and techniques to prevent/minimize data redundancies across the organization
Responsible for designing, implementing and optimizing (Extract, Transform and Load data into repositories, for example), and integrating data from different sources
Hands-on implementation of the tools used by IT for data integration, data analytics and dashboards, with related vendor management and maintenance, upgrades and licensing renewals (e.g., PowerBI, SAS, and Spotfire)
Implements new systems and/or applications adhering to existing data management practices, policies, and procedures
Builds and maintains data layer technical documentation; keeps the database of IT applications and capabilities up to date (Orbus)
Identifies and works closely to with business data stewards to resolve data quality issues, such as uniqueness, integrity, accuracy, consistency, and completeness, in a cost-effective and timely fashion
Works collaboratively with data architect consultants and the infrastructure team to develop methods for synchronizing data entering / exiting company systems
Ensures information is collected, stored, and made accessible to the right systems / people at the right time
Consults and troubleshoots data-related issues
Keeps abreast of changes in relevant technology and best practices and look for opportunities to apply such changes within the organization.
Bachelor s degree or equivalent work experience
12+ years of progressive experience in technical data-oriented roles in large-scale business systems transformation projects or equivalent
A broad understanding of the pharmaceutical industry/healthcare industry
Knowledge of Data Architecture standards, processes, methods, reference models and frameworks
Technical and Functional Skills
Exposure to Big Data Analytics and Data Architecture & Modeling (Tools ERWIN)
Hands-on experience with Microsoft PowerBI, PowerApps and Collaboration technologies; MS Project Online experience preferred, but not required
Knowledge of data warehouse and data lake technologies
Considerable knowledge of Cloud computing / SaaS / IaaS / PaaS technologies
Proven experience in master data management, data modeling tools and data visualization PowerBI / Spotfire / SAP BO
Hands-on experience with ETL tools, middleware platforms (e.g., AWS / Mulesoft / Dell Boomi) and API development
Exposure to GMP manufacturing environments
Familiarity with IoT and Industry 4.0 technologies for manufacturing
Experience in business process modeling
Strong expertise in statistical modeling