Decision Science Analyst C2C jobs San Antonio, TX (Onsite) | Contract

Decision Science Analyst

Location:

San Antonio, TX (Onsite)

Duration:
Long Term Contract

Required Tools:
Snowflake, Python, SQL, Snowflake cortex, Alation, A/B testing, Hypothesis Testing

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 Decision 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.

• Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
• Applies scientific/quantitative analytical approaches to draw conclusions and make ‘insight to action’ recommendations to answer the business objective and drive the appropriate change.
• Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.

• 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.

• Analyze large datasets to identify trends and insights.
• Build statistical and machine learning models.
• Translate business problems into analytical solutions.
• Create dashboards and reports for stakeholders.
• Support decision making with data-driven recommendations.
• Collaborate with business and technical teams.

• Mandatory proficiency in Snowflake, Python, and SQL.
• Domain knowledge of Customer 360.
• Experience with Snowflake cortex, Alation, A/B testing, and hypothesis testing.
• Strong analytical, data quality, and validation skills.
• Excellent communication and visualization abilities.