Us In Our Unique

SeniorAnalystDataQuality

₹18–25L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analyst – Data Quality at Us In Our Unique. Skills: Data Quality Management, Data Validation, SQL Development, Data Monitoring. Design data validation rules. Implement data validation rules”

Industry & Context.

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, Experience with distributed data processing platforms, Python programming skills, Experience working with cloud data platforms

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, healthcare, or commercial analytics datasets, Experience with Power BI

What You'll Do.

Design data validation rules

Implement data validation rules

Build modular scripts

Build reusable components

Build Power BI dashboards

Maintain Power BI dashboards

Track data quality performance

Track data health trends

Enable self-service awareness

Lead issue investigation

Perform root cause analysis

Implement remediation controls

Implement preventative controls

Maintain documentation

Support metadata tagging

How You'll Work.

Team & Collaboration

Business collaborators; Data engineering teams; Upstream system teams; Data Product Managers; Market CoE squads; Central Data & Governance teams

Communication Scope

Collaborator collaboration skills

Full Job Description

## **Job Title: Senior Analyst – Data Quality** ## **Career Level: D1** ## **Introduction to the role** The Senior Data Quality Analyst is responsible for designing, implementing, and continuously improving scalable data quality controls across global data products and shared data platforms. The role combines expertise in data quality management and analytics to ensure data is accurate, complete, consistent, and reliable for downstream analytics, reporting, and advanced data use cases. The role will contribute to the development of reusable validation frameworks, automation utilities, and scalable monitoring capabilities to enable enterprise-wide data quality management across modern cloud data platforms. ## **Accountabilities** **Data Quality Management** * Design and implement data validation and quality rules using SQL. * Build modular scripts, utilities, and reusable components to support scalable data validation and monitoring. ## **Data Quality Monitoring and Reporting** * Build and maintain Power BI dashboards, important metric scorecards, and monitoring reports to track data quality performance, issue backlogs, SLA alignment, and data health trends. * Enable business collaborators to access self-service awareness of data quality metrics. ## **Issue Triage and Root Cause Analysis** * Lead issue investigation and root cause analysis across source systems, ingestion pipelines, and transformation layers. * Work with data engineering and upstream system teams to implement remediation and preventative controls. ## **Documentation and Data Governance** * Maintain documentation for data quality rules, validation logic, data contracts, and benchmark definitions. * Support metadata tagging, taxonomy and ontology alignment to enable AI-ready data products, while collaborating closely with Data Product Managers, Market CoE squads, and central Data & Governance teams to ensure consistent data standards and discoverability. ## **Essential Skills** * Education: Quantitativ

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