AstraZeneca

Healthcare

SeniorAnalyst-DataQualitySolution

₹18–28L ~AI est. Chennai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Healthcare
Problems you'll solve

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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