Our Client Currently looking for Senior Data Analyst – SQL

Key Responsibilities :

Data Quality Management & Validation :

– Perform comprehensive data profiling, quality assessments, and health checks across Customer, Sales, CRM, and Master Data domains.

– Design, execute, and monitor data quality rules to identify anomalies, inconsistencies, duplicates, missing values, and integrity issues.

– Conduct root cause analysis for data quality issues and collaborate with data owners and technical teams to implement corrective actions.

– Define, maintain, and enhance data quality frameworks, standards, and monitoring processes.

– Track, measure, and report data quality KPIs and metrics through dashboards and executive reports.

– Ensure data consistency across multiple enterprise applications and systems.

AI Enablement & Ground Truth Validation :

– Partner with Business SMEs and AI/ML teams to gather, validate, and maintain high-quality ground truth datasets.

– Support data labeling, annotation, classification, and validation activities for AI model development and training.

– Validate input and output datasets to ensure alignment with business requirements and expected outcomes.

– Perform feature validation and data readiness assessments for AI and Machine Learning initiatives.

– Conduct pre-UAT reviews to ensure data quality and model readiness before deployment.

– Assist in model evaluation by validating predictions against business-defined acceptance criteria.

Business Requirements Analysis :

– Gather, analyze, and document business, data, and reporting requirements for AI and analytics initiatives.

– Translate business requirements into detailed functional specifications and data requirements.

– Define transformation rules, mapping documents, business rules, and acceptance criteria.

– Develop and maintain data flow diagrams across Customer Master, CRM, Sales, and downstream systems.

– Conduct impact assessments for changes affecting data quality, governance, and reporting.

Data Governance & Compliance :

– Ensure adherence to enterprise data governance standards, policies, and best practices.

– Maintain data dictionaries, business glossaries, metadata repositories, and lineage documentation.

– Support compliance requirements related to personal, confidential, and sensitive data handling.

– Implement data minimization principles and ensure proper usage of customer and sales data.

– Identify potential data risks and maintain risk registers, mitigation plans, and issue logs.

– Collaborate with governance teams to improve data stewardship and accountability.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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