Sr Data Analyst

Bachelor’s degree in Analytics, Statistical Modeling, Data Science, followed by two (2) years in the role or in a related position. Full term of experience must include: Utilizing Pega PRPC, Java, JavaScript, and SQL for custom logic and data handling; Developing REST/SOAP services, connectors, and data pages to integrate with external systems; Using SQL to analyze, query, and validate data across relational databases, ensuring data quality meets business requirements; Managing real-time data integration and provisioning using Apache Kafka to enable seamless data flow for business-critical applications; Leveraging cloud-based data solutions using AWS Redshift to enable scalable data storage and high-performance querying for business intelligence; Designing and optimizing relational databases to store, retrieve, and provision structured data in accordance with business and analytics requirements; Utilizing Tableau to create customized reports and visualizations; Applying data mining techniques, including clustering and association, to discover trends, patterns, and anomalies in data, supporting business teams with actionable insights; Conducting statistical analysis using methods, including A/B testing and regression analysis, to validate and support key business initiatives; Performing data profiling tasks to ensure data is accurate, clean, and aligned with business objectives before provisioning to analytical environments; Maintaining continuous data provisioning using DBeaver for database interaction, enabling seamless integration with relational databases for data support; and Leveraging SAS to automate the provisioning of datasets, ensuring data is pre-processed and ready for analysis or modeling.

• Translating business requirements and information into decisioning software logic designs.
• Writing programming code, customizing decisioning application software, and performing appropriate quality assurance checks before hand-off to quality assurance colleagues.
• Performing unit and integration testing of new or modified business logic.
• Maintaining the required reference data for executing the decisioning logic, including offer compatibility.
• Resolving inquiries and service for the screening, prioritization, and resolution of production defects.
• Assisting in diagnosing application issues.
• Assisting in creating post-implementation support documentation.
• Running queries to analyze customer interactions and take actions to mitigate anomalies.