We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. 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Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505375104, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1754422500, "t_create": 1751572380, "ats_job_id": "71095", "display_job_id": "2025-71095", "type": "ATS", "id_locale": "2025-71095-en", "job_description": "Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices. A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). Awareness of security best practices, including access control, authentication, and secure processing.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505974017, "name": "Assistant Director, Data Products", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Digital Customer Experience", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1756325160, "t_create": 1754682360, "ats_job_id": "71672", "display_job_id": "2025-71672", "type": "ATS", "id_locale": "2025-71672-en", "job_description": "ability to empower and mentor other developers and business users to maximize You will also collaborate with engineering teams to build capabilities that best leverage the right technology to meet business objectives and deliver value. passionate about data and the power of analytics to create industry re-defining insights and committed to the mission of enabling data to achieve an advantage, Extensive experience (5+ years) in Power BI development and administration. Expert knowledge of DAX (Data Analysis Expressions) for complex calculations and measures. Strong proficiency in Power Query (M language) for data transformation and ETL processes. Experience in data modeling, including star schema and snowflake schema design. Familiarity with Power BI Service features such as workspaces, dataflows, paginated reports, data refresh, and gateway management. Hands-on experience integrating Power BI with Azure Data Services (Azure SQL Database, Azure Analysis Services, Azure Data Factory) is a plus. Solid understanding of SQL for querying relational databases. Knowledge of scripting languages such as Python or R for advanced analytics or custom visuals. Experience in BI governance, security, and deployment pipelines (Power BI Deployment Pipelines, ALM). Demonstrated ability to create training programs, workshops, and enablement sessions. Strong communication and interpersonal skills to facilitate collaboration and mentoring. Microsoft Power BI and related certification(s) (e.g., PL-300, PL-900, DP-500). Experience with Microsoft Fabric and Copilot features and development. Experience working with version control such as Azure DevOps and GitHub Actions. Exposure to advanced analytics, AI integration, or custom visual development in Power BI. Familiarity with other BI tools (Tableau, Qlik) for comparative advantage. Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 5-7+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology Help users to design, develop, and maintain advanced Power BI reports, dashboards, and data models to deliver actionable business insights. Optimize existing Power BI solutions for performance, scalability, and usability and lead optimization workshops for users. Implement and enforce best practices around Power BI development, including data modeling, DAX optimization, and Power Query transformations. Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into effective Power BI solutions. Lead user enablement initiatives by creating comprehensive training materials, documentation, and workshops tailored to developers and end-users. Provide hands-on training and mentorship to internal teams on Power BI development, administration, and deployment processes. Support governance and security standards within Power BI Service, including workspace management, dataset refresh schedules, and role-based access. 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Deep understanding and experience with Agile practice, metrics and methods as well as advanced analytics and Business Intelligence knowledge (preferably in PowerBI), including visualization and user experience technologies Able to set expectations for deliverables of high complexity Strong understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work Able to Influence strategic thinking across the team and the broader organization. Strong written and oral communication skills required Experience prioritizing efforts based on customer value Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack 5-7+ years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618506068833", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618506236036, "name": "Manager of Workers Compensation and Property Claims Analytics", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Analytics", "business_unit": "3026-GRS-North America-US", "t_update": 1756479360, "t_create": 1756317600, "ats_job_id": "71982", "display_job_id": "2025-71982", "type": "ATS", "id_locale": "2025-71982-en", "job_description": "Build and continuously improve analytics that help the Claims organization understand performance at a detailed level. Partner closely with field claims, claims operations/practice teams, and analytics teams across the company to share best practices and learnings. Create benchmarking tools and performance insights for Workers Compensation and Commercial Property. Analyze claims outcomes and the impact of claims initiatives; recommend actions based on data. Set and track claims strategies; report results clearly with quantitative evidence. Spot problems and develop analytical solutions that improve business unit profitability. Lead monthly operational reviews with senior leadership; provide meaningful metrics and analysis and improve the process over time. Help shape the strategy of the Claims organization as part of line-of-business leadership teams. Strong knowledge of analytical methods and financial metrics. Experience with claims operations and financial planning is helpful but not required. Workers Compensation experience and understanding of medical data are preferred. Excellent communication and relationship skills; ability to inspire others and work across diverse teams. Strong strategic thinking: make complex decisions, innovate, and handle ambiguity. Outstanding analytical, quantitative, and problem-solving skills with a track record of influencing senior leaders. Bachelor's degree in business, economics, finance, mathematics, statistics, or another quantitative field. 10+ years of experience, including leadership experience; insurance experience preferred. Proven experience leading an analytics team (required). FCAS/ACAS or data science experience is a plus, but this is not an actuarial or data science role. 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Analyze data on drivers of performance and execution of underwriting strategies across Commercial Auto. Identifies and investigates noteworthy observations, translating findings into clear, actionable insights. Monitors and reports-out on performance, deviations from plan along with corresponding insights/trends to cross-functional stakeholders and the North America Auto Product Board; prepares clear, decision-oriented materials and executive updates Investigates noteworthy portfolio trends and deviations (rate/retention, frequency/severity, mix, limit/deductible structures, exposure and telematics metrics), identifies causal drivers, proposes hypotheses/tests, and executes pilots with clear success criteria Develops recommendations for portfolio shaping (e.g., areas to grow, fix, or maintain) based on analysis and discussion with partners; socializes a cohesive ?portfolio story? with segments and leadership to drive awareness and action. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}