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The Data Science Engineer is responsible for creating automated data pipelines, conducting deep-dive analyses using SQL and Python, and supporting NLP and Generative AI model development. This role requires maintaining robust data processes, integrating models with business applications, and utilizing Snowflake for data management. The candidate will work collaboratively with AI/ML teams and present findings using visualization techniques.
The UAT Support Analyst will monitor UAT environments, ensuring smooth operations, documenting system errors, and collaborating with engineers for efficient issue resolution. This role focuses on maintaining quality in UAT processes and minimizing downtime through proactive measures and effective communication with teams and clients.
The Operations Analyst will provide daily operational support to the Expert Claims Review team, including reporting, claims management, analysis, and client savings identification. Responsibilities also include training, monitoring client claims, and ensuring compliance with company standards.
The Associate Front End Engineer will design, develop, test, and deploy frontend components using React. Responsibilities include writing modular code in JavaScript or TypeScript, collaborating with teams, troubleshooting issues, and staying updated with industry trends. Familiarity with deployment tools and version control is essential.
The Analytics Manager, Fraud and Risk develops a structured analytics program, creates roadmaps, transforms raw data into business insights, prepares detailed reports for leadership, manages incoming requests, enhances KPI reporting, and leads a team of analysts, all while ensuring accuracy and identifying process improvements.
The Account Manager is responsible for managing client relationships, driving revenue growth through optimization of existing products, ensuring client satisfaction, and executing risk mitigation strategies. This role includes overseeing financial health, conducting business reviews, supporting cross-sell initiatives, and maintaining adherence to compliance standards, all while using Salesforce for tracking and documentation.
The Snowflake Data Platform Administrator is responsible for designing secure access to Snowflake, optimizing databases, managing virtual warehouses, and troubleshooting issues. This role requires strong skills in Cloud platforms like Azure and AWS, along with experience in ETL workload and data sharing. The administrator will also implement backup solutions and stay updated on Snowflake features while providing technical support.
The Senior Snowflake Data Engineer will design and implement data models, manage data quality, optimize data processes, and mentor offshore engineers. Responsibilities include building scalable data solutions, collaborating with stakeholders to deliver analytics products, and driving improvements in data management practices.
The Implementation Support Specialist assists the Implementation Team in collaborating with healthcare payer clients to analyze data and configure the Zelis system for efficient document processing. Responsibilities include facilitating client communications, designing documents, conducting accuracy checks, and maintaining security protocols, all while prioritizing tasks based on project timelines.
The VP of Platform Engineering will lead a global software engineering team focusing on developing and maintaining innovative platforms. Responsibilities include ensuring adherence to engineering best practices, leading cross-functional teams, and driving commitments supporting technology and business operations.
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