Location
Hyderabad | India
Job description
About the Role
Location : Hyderabad
Purpose:
As a Data Quality Analyst, you will be responsible for ensuring the accuracy and integrity of BR enterprise-level data and beyond. Your analytical skills, attention to detail, and knowledge of data quality management will enable you to identify data issues, propose solutions, and implement strategies to improve data quality. By maintaining high-quality data, you will contribute to informed decision-making and drive successful business outcomes.
Key Responsibilities:
• Lead the set-up of a DQ platform and adopting DQ products and tools within Biomedical Research.
• Develop and implement data quality standards, policies, and procedures to ensure data integrity and reliability.
• Collaborate with stakeholders to understand data requirements and define data quality metrics.
• Conduct thorough data analysis to identify and resolve data quality issues, inconsistencies, and anomalies.
• Design and execute automated and manual data quality tests to validate data accuracy and completeness.
• Develop and maintain data quality dashboards and reports to monitor data quality metrics and trends.
• Provide guidance and support to data users on data quality standards and best practices.
• Collaborate with data engineers to ensure proper data validation processes and data quality controls are implemented.
• Develop and maintain documentation of data quality processes, procedures, and solutions.
Diversity & Inclusion / EEO
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Role Requirements
• Proven experience of min. 5-7 years in data analysis, data quality management or a similar role
• Strong knowledge of data quality principles, practices, and methodologies.
• Proficiency in SQL for data analysis and manipulation.
• Experience with programming languages such as Python or R.
• Experience with data quality tools and frameworks.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
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