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Senior Analytics contributor responsible for building optimized SQL queries, scalable datasets and pipelines, performing segmentation, campaign and churn analyses, supporting client discovery, validating analytics outputs, estimating project effort, and identifying risks and dependencies for enterprise clients.

The Software Engineer will design, code, and test business applications, maintain systems, and analyze data using cloud services and standard technologies.

Design, develop, test, and maintain business application systems and web services using cloud-based technologies; perform code reviews, create documentation, analyze data needs and models, and collaborate with stakeholders and Agile teams to support and improve development processes.

Design, develop, test, and maintain enterprise business applications and web services using cloud technologies; provide technical leadership, perform code reviews, design data models, and collaborate with stakeholders to integrate infrastructure and improve development processes.

Design, implement and support analytical data infrastructure and real-time AWS data pipelines. Extract, transform, and load large datasets using SQL and AWS big-data services, collaborate on advanced analytics and ML model deployments, and improve reporting and self-service data access.

Support product lifecycle by maintaining product backlogs, writing user stories, coordinating with engineering and QA, assisting manual testing and releases, maintaining documentation (Confluence/SOPs), and preparing release notes. Participate in grooming, sprint tracking, defect tracking, and cross-functional communication while learning product workflows and agile practices.

The Associate Software Engineer will implement application components, analyze requirements, code and debug applications, and work with data complexity while collaborating with product and design teams.

Design, implement, test, and maintain application components and web services. Work with product and design teams to translate requirements, perform code reviews, troubleshoot integration issues, and support testers. Follow department standards, remain current on emerging technologies, and perform other duties as assigned.

Lead end-to-end analytical deliverables for external clients using SAS as the primary tool. Perform data acquisition, validation, profiling, statistical analysis, modeling, and standardized reporting. Use SQL and Python for data prep, Excel for summaries, and Tableau for basic visualizations. Partner with stakeholders, ensure data governance and accuracy, investigate anomalies, and manage multiple priorities in a matrixed environment while supporting North America business hours.

Develop, test, and maintain business applications and web services, translate product requirements with designers, perform code reviews, debug and integrate technologies, support testers and support teams, and stay current with emerging technologies. Work within team standards and Agile processes to handle data-driven systems and ensure efficient job execution.