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Role: Decision Science Analyst
Location: San Antonio, Texas
"This role provides analytics and data-quality support for Member and Channel initiatives by translating business requirements into validated data assets, test coverage, and actionable insights. The Data Analyst partners with business stakeholders, IT/data engineering, and QA to ensure data accuracy, traceability, and alignment of reporting requirements to the final delivered datasets.
Snowflake, Python, SQL are mandatory with good domain knowledge of Customer 360"
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."
Role: Decision Science Analyst
Location: San Antonio, Texas
"This role provides analytics and data-quality support for Member and Channel initiatives by translating business requirements into validated data assets, test coverage, and actionable insights. The Data Analyst partners with business stakeholders, IT/data engineering, and QA to ensure data accuracy, traceability, and alignment of reporting requirements to the final delivered datasets.
Snowflake, Python, SQL are mandatory with good domain knowledge of Customer 360"
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."