The Sr. Analyst, Data leads complex analytical initiatives and designs reliable data solutions that support analytics, reporting, and operational decision-making across the organization.
Owns the strategy and delivery of the training and calibration data the P&L vertical teams in US Data Science (USDS) and Product Delivery need for pricing.
Responsibilities
Leads the modernization of the department’s data architecture
Provides strategic and tactical direction for the department
Leads and develops the teams within the Modeling Data Solutions (MDS) department
Oversees the sourcing of data from enterprise data warehouses and external vendors
Owns the process changes needed when new source systems come online
Requirements
Bachelor's degree or equivalent experience required
Lead enterprise cloud transformation initiatives, designing and implementing hybrid cloud and data architecture solutions across AWS and on-premises environments.
Responsibilities
Architect and implement enterprise-scale database and cloud solutions across AWS and on-premises environments.
Lead migrations from legacy on-premises databases and applications to AWS cloud platforms.
Design hybrid cloud architectures enabling secure communication between cloud-based and on-premises applications.
Create enterprise data models, ERDs, and target-state architecture roadmaps.
Implement highly available, secure, and scalable database solutions.
Requirements
Nice to have: AWS Certified Solutions Architect
Nice to have: AWS Database Specialty Certification
Nice to have: Azure Solutions Architect Certification
An experienced Hana Developer role to design, develop, and implement SAP HANA solutions focusing on ETL transformations and data modeling working remotely.
Responsibilities
Responsible for solving complex problems within their discipline, creating ETL transformation using different sources like SAP, SFDC, SuccessFactors
Troubleshoot issues related to data discrepancies and performance
Implement data provisioning and replication scenarios
Design, develop, and implement SAP HANA solutions
Create and optimize SQL scripts, stored procedures, and data models in HANA
Design and implement modern data platforms and pipelines, architect AI-ready data solutions, and collaborate with customer teams to deliver enterprise data services.
Owns the strategy and delivery of training and calibration data for P&L vertical teams, modernizes data architecture, leads large organization, directs pipelines, collaborates with cross-functional teams.
Compensation
The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
Responsibilities
Owns strategy and delivery of training and calibration data
Modernizes data architecture
Leads and develops teams
Oversees data sourcing and pipeline modernization
Collaborates with USDS, ED&DS, Data Office, DAE, Product Delivery
The AI engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems and enhance business operations.
Creates, implements, and deploys AI solutions in business environments, considering scalability, reliability, and security
Assists in collecting and cleaning relevant datasets to ensure their suitability for machine learning tasks
Performs thorough testing and evaluation of AI models to ensure their performance meets the desired business objectives
Continuously monitors and optimizes the performance of deployed AI systems, making necessary improvements and updates
Stays updated with the latest advancements in AI and ML technologies to identify their potential applications in the organization
Illinois, United States
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Virginia, United States
Responsibilities
Lead complex, cross-functional analytical projects from business problem definition through data analysis, validation, stakeholder communication, and final delivery.
Translate ambiguous business questions into analytical plans, reusable reporting logic, scalable datasets, and actionable recommendations.
Design, maintain, and optimize SQL-based analytical solutions, data models, views, stored procedures, and recurring reporting workflows supporting operational and strategic needs.
Write and review advanced SQL using SSMS, including complex joins, CTEs, window functions, temporary tables, stored procedures, performance-aware query design, and robust validation logic.
Analyze pharmacy claims, member, client, drug, formulary, rebate, network, provider, clinical, operational and financial datasets to identify risks, opportunities, trends, and decision points.
Requirements
Bachelor’s degree in a quantitative, business, healthcare, information systems, economics, statistics, mathematics, computer science, or related field, or equivalent work experience
Nice to have: Mentoring analysts
Nice to have: Experience with healthcare, pharmacy benefit management, managed care
Nice to have: Experience leading complex analytical projects
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures
Build data products for AI/ML model training and agentic AI systems
Operate autonomously within delivery engagements
Navigate complex data access, security, and privacy requirements
Architect contextual knowledge layers and knowledge graphs
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