AstraZeneca
Healthcare
SeniorAnalyst-DataQualitySolution
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analyst-Data Quality Solution at AstraZeneca. Skills: Data quality, Data validation, Data monitoring, SQL. Design data quality solutions. Develop data quality solutions”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Quantitative bachelor’s degree, 5+ years of experience, Advanced SQL development skills, Python programming skills, Experience with cloud data platforms, Documentation skills, Communication skills, Collaborator collaboration skills
Nice to Have
Experience with data observability tools, Experience with validation based on metadata, Familiarity with enterprise data governance platforms, Experience working in large global organizations, Exposure to pharmaceutical datasets, Experience with Power BI, Experience with Excel, Experience with BI tools
What You'll Do.
Design data quality solutions
Develop data quality solutions
Implement data quality solutions
Build modular scripts
Build reusable components
Build Power BI dashboards
Build benchmark scorecards
Build supervising reports
Track data quality performance
Track SLA consistency
Translate signals into actions
Establish governance forums
Run governance forums
Provide updates on risks
Provide updates on metrics
Provide updates on remediation progress
Lead investigations across source systems
Lead investigations across ingestion pipelines
Lead investigations across transformation
Implement corrective actions
Implement preventive actions
Partner with business users
Partner with data owners
Partner with technical teams
Understand data flows
Understand business rules
Prioritize data quality concerns
Resolve data quality concerns
Maintain documentation for data quality rules
Maintain documentation for validation logic
Maintain documentation for data contracts
Maintain documentation for KPI support
Enable AI-ready data products
Find opportunities to improve monitoring frameworks
Find opportunities to improve controls
Find opportunities to improve operating
Automate recurring monitoring
Automate recurring reporting
Automate recurring reconciliation
Standardize recurring monitoring
Standardize recurring reporting
Standardize recurring reconciliation
Promote collaboration
Contribute to reusable frameworks
How You'll Work.
Team & Collaboration
Business users; Data owners; Technical teams; Product teams; Governance teams; Global teams
Communication Scope
Documentation; Communication
Full Job Description
## Job Title: Senior Analyst-Data Quality Solution ## Career Level: D1 ## Introduction to role: Are you ready to turn complex, messy data into trusted insights that accelerate decisions from the lab to the boardroom? In this Chennai-based role, you will build the controls and monitoring that keep our global data products accurate, consistent, and ready for high-stakes analytics and AI. Your work will underpin reporting, forecasting, and enterprise initiatives that ultimately help improve outcomes for patients. You will join a team investing in modern cloud infrastructures, automation, and reusable frameworks to improve integrity and reliability of data across the enterprise. Here, you will not just fix issues; you will design durable validation, observability, and governance capabilities that prevent them. Can you picture your dashboards highlighting a trend before it becomes an incident—and your root-cause analysis guiding a permanent fix? **Accountabilities** : * Data Quality Solution Design: Design, develop, and implement data quality solutions using SQL, Python, and Power Apps across data warehouses, data lakes, and data mesh architectures, ensuring enterprise-grade accuracy, completeness, consistency, and reliability. * Scalable Validation and Utilities: Build modular scripts, utilities, and reusable components that enable consistent, repeatable data validation and monitoring at scale. * Monitoring and Insight: Build and maintain Power BI dashboards, benchmark scorecards, and supervising reports to track data quality performance, issue backlogs, SLA consistency, and data health trends; translate signals into clear actions * Governance and Risk Visibility: Establish and run governance forums, providing timely updates on key risks, metrics, and remediation progress to drive accountability and priority alignment. * Issue Triage and Root Cause: Lead investigations across source systems, ingestion pipelines, and transformation layers; implement corrective and preven
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