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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"business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1747436760, "t_create": 1746630720, "ats_job_id": "70132", "display_job_id": "2025-70132", "type": "ATS", "id_locale": "2025-70132-en", "job_description": "Utilize a variety of web analytics tools and data sources to lead multivariate analysis and A/B testing focused on enhancing the digital sales funnel experience and economics in a variety of focus areas (e.g. customer segmentation, product bundling, cross-sell, multichannel, lead monetization, tech modernization, webchat etc.) Lead work streams both independently and cross-functionally, partnering with diverse stakeholders and Agile Product teams to make actionable recommendations for future enhancements Drive the development, prioritization, and execution of strategic digital and direct channel roadmaps using both qualitative and quantitative insights Analyze variances in key online performance metrics versus financial plan to diagnose drivers of gaps and build value-based business cases for new opportunities for implementation Collaborate across Direct Distribution, thinking critically and holistically to drive a cohesive strategy across the entire direct ecosystem (digital and call center platforms) Experience querying, curating, and manipulating large datasets from multiple platforms and sources to deliver insights to critical and complex business questions Ability to effectively balance various tasks simultaneously, communicate proactively with stakeholders, and adapt to shifting or competing priorities in a fast-paced working environment Strong PowerPoint and presentation skills with experience preparing and delivering presentations for a wide range of audiences, including influencing senior leadership on key priorities and business decisions Web analytics experience is a plus (e.g. Adobe Analytics, Google Analytics); a strong interest in Digital is necessary Bachelor's Degree plus a minimum 3 years, typically 4 or more years of 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Knowledge of agile engineering practices, development methodologies (Scrum, Kanban) and tools (Jira, Slack, VersionOne). 8 to 10 years of relevant experience in digital analytics, data architecture, data engineering or data product ownership 5+ years' experience leading data analysts, engineers, and/or developers The ideal candidate will have a strong understanding and experience with implementation and usage of web analytics and tagging tools - primarily Adobe Analytics, Google Analytics, Tealium, Tags and others. 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Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes. Accuracy & Quality Transformation: Develop measures that enhance accuracy and enable Field, Process, and Operations leaders to identify issues early in the claim lifecycle using both quantitative and qualitative data sources. Vertical Enablement: Generate and prioritize Vertical-level insights that are easily accessible, allowing Field leaders to understand operational trends at a glance and drive positive actions. 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Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Strong written and oral communication skills required. 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Act as the main liaison with Moody's Analytics, managing the vendor relationship, contract renewals, issue escalation, and roadmap alignment. Collaborate with Finance, Risk, and IT stakeholders to understand business needs and translate them into functional platform enhancements. Oversee platform configuration, data integrations, release testing, and overall solution governance. Lead incident management and problem resolution in collaboration with Moody's support and internal technical teams. Monitor platform KPIs, usage metrics, and ensure compliance with SLAs, data privacy, and internal audit requirements. Stay informed on regulatory changes affecting impairment modeling and partner with the business to ensure platform readiness. Maintain a comprehensive understanding of the full Moody's product and risk model ecosystem (e.g., Impairment Studio, Portfolio Studio, Scenario Studio, CMM, Data Proxy, EDF-X), including how these tools interact, overlap, or operate independently. Act as the internal expert on Moody's platform integration, guiding cross-functional teams on best practices for leveraging Moody's suite across data pipelines, risk assessments, and reporting workflows. Evaluate new Moody's offerings and feature enhancements for potential business impact and integration opportunities. Liaise directly with Moody's product and support teams to stay current on platform updates, interoperability limitations, and planned roadmap developments. Ensure continuity and data quality when bridging Moody's products with in-house systems or third-party risk platforms. Advanced knowledge of CECL accounting regulations Knowledge of expected tail loss models 5+ years of experience with Moody's Analytics or similar platforms Investments experience/domain knowledge strongly preferred Advanced knowledge of Agile development methodologies as typically acquired through a Bachelors? degree in relevant field (business, computer science, humanities etc, 7 years in business, technology, or consulting with 5 to 7 years direct experience with agile teams Master's degree preferred High level of proven business expertise needed to set clear priorities for product and understand business value impacts Develops strong stakeholder relationships and influencing across multiple organizational boundaries Demonstrated experience leading varied audiences through the development of complex ideas, issues and designs Ability to lead varied audiences through census building Proven experience with Agile practices and expectations Comfortable with making decisions with some level of uncertainty Strong communication skills, both written and verbal Strong experimental mindset to drive innovation amongst uncertainty and exploit market opportunities", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503469720", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502587427, "name": "Senior Data Analytics Engineer, USRM Modeling Data Solutions", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1747414740, "t_create": 1739820060, "ats_job_id": "68773", "display_job_id": "2025-68773", "type": "ATS", "id_locale": "2025-68773-en", "job_description": "Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis. Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance. Implement data quality checks and governance best practices to ensure data accuracy and reliability. Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources. Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives. Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities. 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Query and validate large and complex datasets to deliver analytically sound insights. Serves as a thought partner in managing state results and strategy by monitoring key metrics and understanding the competitive environment. Presents analyses to DSOs, senior leadership and other cross-functional partners that translates complex work into an easy, digestible story with an appropriate level of detail. Independently build and manage project plans to deliver results and implement solutions in support of state and organizational goals. Influence decision making and alignment with cross-functional partners through clear and effective communication. Mentor, formally and informally; and provide basic analytical coaching to less experienced analysts. Bachelor's degree in business, information management, economics, or other quantitative field. Master's degree preferred. Minimum 4 years, typically 6 years or more of relevant work experience. Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills. Highly developed communication and presentation skills. In-depth knowledge of data concepts, strategies, and methodologies. In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives. 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Define impact metrics that demonstrate effectiveness and align with enterprise goals. Influence the sequencing and prioritization of data use cases, identifying cross-cutting themes and ensuring strategic, efficient capability build-out. 7-10 years of experience in data strategy, investment operations, analytics, or a related role within asset management, financial services, or insurance. Strong understanding of investment data domains, including portfolio holdings, transactions, classifications, and analytics. Demonstrated ability to translate business needs into data strategy and influence stakeholders across a matrixed organization. Familiarity with enterprise data platforms and tools (e.g., Snowflake, Power BI) and foundational knowledge of data governance or architecture. Excellent communication and storytelling skills, with the ability to synthesize complex ideas into actionable plans for both technical and business audiences. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}