Business Analyst

Business Analyst is needed to perform the following duties: Data Requirement Translation & Analytical Design. Collaborate with business stakeholders and technical teams to translate complex healthcare and financial requirements into data analysis frameworks, data models, and reporting structures. Define data elements, metrics, and logic required for analytical evaluation. Large-Scale Data Analysis. Perform large-scale data analysis using SQL across platforms such as Teradata and Snowflake to identify trends, anomalies, and inconsistencies in healthcare and financial datasets.Query and process structured datasets to support business decision-making. Statistical Analysis & Insight Generation. Apply statistical and analytical techniques to evaluate data trends, identify performance gaps, and generate actionable insights. Support business teams with data-driven recommendations. Data Validation, Integrity & Reconciliation Analysis. Conduct data validation and reconciliation across multiple systems to ensure accuracy, completeness, and consistency of financial and healthcare data. Analyze discrepancies and identify root causes using data analysis techniques. Data Modeling Support & Transformation Analysis. Support data transformation processes by analyzing data mappings, business rules, and system logic. Ensure accurate representation of data across systems and reporting layers. Data Visualization & Reporting. Develop dashboards and analytical reports using tools such as Tableau/Power BI to present insights and trends. Communicate findings to stakeholders through data visualization. Analytical Testing & Data Output Validation. Perform analytical validation of system outputs during implementation and migration phases to ensure alignment with expected data logic and business rules. Evaluate system-generated data using data-driven validation techniques. Post-Deployment Data Analysis & Monitoring. Conduct post-production data analysis to validate deployed solutions and ensure ongoing data accuracy. Monitor data quality and identify issues impacting business reporting. Process Optimization & Data Quality Improvement. Identify inefficiencies in data workflows and implement improvements to enhance data quality, processing efficiency, and issue resolution timelines. Support continuous improvement initiatives using data analysis. Bachelor's Degree is required in Computer Science or Computer Engineering or Business Analytics

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