Novartis Job Vacancy 2023 – Specialist – Data Quality – Private Company Job Vacancies 2023

The Novartis Technical Operations (NTO) Global Operations Center (GOC) Data Governance team uses the correct metadata, master data, data quality parameters, data lineage, and KPIs to ensure data management, consistency, reliability, and trustworthiness. Responsible for developing and maintaining reports, and workflows. Easily access reliable data for decision-making while ensuring data across NTO is maintained in accordance with regulatory and compliance requirements.

Why Should You Join

Novartis is a global healthcare company committed to improving the health and well-being of patients. Additionally, Novartis offers a challenging and dynamic working environment where I can further develop my skills and knowledge.

Responsibilities : 

• Data Quality Analyst engage to build and adopt a strong Data Quality Management culture within team particularly focusing on improving Master Data Quality and enabling Master Data Governance by publishing KPIs & Reports. Drives and participate in Data Quality enhancement for consistency, correctness and completeness and facilitate data enabled decision making for Novartis Technical Operations (NTO) by providing quality data.
• Support resolution of Data Quality issues in NTO in collaboration with Data Stewards and Business SPOCs. Follow up with the Business SPOCs on data quality issues
• Create/modify new or existing reports as per different user requirements or Data Governance strategy. Analyze data quality enrichment and cleansing requests from Data Stewards and Business Owners
• Implement data cleansing and linking strategy as per documented data quality improvement strategy. Responsible for rolling out the periodical Data Quality assessments, DQ KPI measurements, Gap analysis & Continuous improvement to ensure that active Data Governance is achieved, and data quality meets business need and complies with mandatory standards
• Work on enhancement of training materials, documents on scope of the reports, data quality rules and various data governance modules. Perform root cause analysis of data discrepancies raised by users and recommend improvements.
• Successful implementation of data governance frameworks and processes. We provide support and standards-setting for excellence in methodologies, processes, and SOPs that enable improved global and local data operations and governance.