Data Scientist: Data Quality & Analytics Lead

Tata Consultancy Services; San Antonio (TX); Presencial; USD 65.000 - 100.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services in San Antonio, TX is seeking a data-focused professional to translate BRDs into data questions, metrics, and validation approaches. The role involves researching source systems, documenting data definitions, and ensuring end-to-end traceability for analytics datasets.

The candidate will perform data profiling, design data-quality checks, and support remediation plans with IT and data owners.

Formación

• Bachelor of Computer Science degree required.

Responsabilidades

• Analyze and review Business Requirements Documents (BRDs) and translate requirements into data questions, metrics, and validation approaches.
• Research and document source systems, business logic, data definitions, and transformation rules to ensure end-to-end traceability.
• Perform data profiling to identify gaps, anomalies, and root causes; partner with stakeholders to define and track remediation plans.
• Design and execute data-quality checks and reconciliation/validation routines; report discrepancies and drive resolution with IT and data owners.
• Provide data modeling input and recommendations; participate in design discussions to support scalable, consistent analytics datasets.
• Document test cases and maintain an approved test coverage matrix; support QA/UAT execution and evidence collection.
• Support defect triage and management including logging, prioritization support, retesting, and closure validation.
• Create and maintain clear documentation in team knowledge bases including metric definitions and testing artifacts.
• Monitor and respond to analytics support requests via designated in alignment with agreed SLAs.

Educación

Bachelor of Computer Science

Descripción del empleo

Tata Consultancy Services in San Antonio, TX is seeking a data-focused professional to translate BRDs into data questions, metrics, and validation approaches. The role involves researching source systems, documenting data definitions, and ensuring end-to-end traceability for analytics datasets.

The candidate will perform data profiling, design data-quality checks, and support remediation plans with IT and data owners.