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. Responsibilities 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. Core Capabilities 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. Qualifications 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. #J-18808-Ljbffr Tech Mirrors