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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You'll go beyond producing extracts and reporting to conduct in-depth analysis, with claims data. This is a great role for someone who enjoys a mix of forensic problem solving, stakeholder partnership, and hands-on data analysis, and who takes pride in delivering insights that stand up to scrutiny. This position may have in-office requirements depending on candidate location. Conduct deep-dive analysis of complex claims data to identify trends, anomalies, and key insights that directly inform legal strategy, regulatory responses, and compliance assessments. Partner with Legal & Compliance stakeholders to clarify request intent, scope, timelines, and success criteria. Adapt communication style appropriately to share project results, opportunities, and successes with both technical and business (non-technical) leaders. Develop and deliver claims analytical solutions, including everything from foundational claim-level extracts to statistical summaries, predictive metrics, and interactive dashboards using tools like SQL/Snowflake, SAS Viya, Python, and other BI tools as needed. Prioritize efforts to meet delivery timelines, proactively communicating risks to stakeholders. Apply strong data QA practices (reconciliations, trend analysis, reasonableness checks, peer review) to ensure both the data and the resulting analysis are accurate and defensible. Proactively identify opportunities for analysis; partner with stakeholders to move beyond reactive data pulls to a more forward-looking, analytics-driven approach. Produce and maintain clear documentation (methodology, definitions, assumptions/limitations, data lineage) so deliverables are reproducible and audit-ready. Help improve team efficiency by creating reusable code modules, templates, and standardized \u201crequest packages\u201d for recurring stakeholder needs. Collaborate with data product and engineering partners to identify high-value recurring requests that should be supported by curated data assets. Demonstrates an understanding of new technologies as needed to progress initiatives, including leveraging approved AI tools to improve processes (within guardrails). Participate in the team's operating cadence (standups, intake/triage, prioritization) and proactively communicate status, risks, and blockers. Acts as a technical guide and mentor for lower level associates. Embrace Diversity, Equity and Inclusion culture creating long-lasting and trusting relationships with teammates. Deliverables are accurate, consistent, and well-documented, with fewer last-minute surprises or rework cycles. 3-5+ years of professional experience in data analytics, with a strong preference for experience in the property and casualty insurance industry. Strong working knowledge of SQL and experience working with large datasets (Snowflake or similar platforms preferred). Proven experience in claims analytics, with a strong understanding of claims data concepts (e.g., claim/exposure/transaction grain, paid/incurred/reserve, claim lifecycle) and familiarity with claims systems (e.g., Guidewire, Claims WorkBench). Experience building data deliverables end-to-end: requirements \u2192 analysis & insight generation \u2192 QA \u2192 stakeholder delivery. Strong communication skills; comfortable translating complex analytical findings into clear, concise narratives for non-technical audiences. Experience supporting Compliance, Regulatory, or Legal stakeholders, or producing audit-ready deliverables. Experience with Power BI or similar BI tools. Experience with Python or SAS for data analysis is a plus. Strong written and oral communication skills required 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, SQL, SAS and experience working with large datasets (Snowflake or similar platforms preferred). 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/618517769126", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517890660, "name": "Analytics Manager, Direct Sales Performance & Forecasting", "posting_name": "Analytics Manager, Direct Sales Performance & Forecasting", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1783532400, "t_create": 1782305400, "ats_job_id": "76584", "display_job_id": "2026-76584", "type": "ATS", "id_locale": "2026-76584-en", "job_description": "We are looking for someone who is not only strong with data, but also skilled at turning data into a clear and compelling story. The right candidate will be able to look across multiple metrics, identify how changes in one area may affect another, and help leadership understand both the \u201cwhat\u201d and the \u201cwhy\u201d behind business performance. You will also be a hands-on people leader who enjoys developing analytical talent and helping teams increase their influence and impact. This role requires someone who can guide others through ambiguous business questions, support thoughtful analysis, and help translate insights into clear recommendations for business leaders. This role may have in-office requirements depending on candidate location. This is a ranged posting for an Assistant Director or a Director level role. Level offered will be based on candidate skills and experience at manager discretion. Master's degree in Mathematics, Economics, Statistics or other quantitative field; Ph.D. helpful given quantitative work they are leading. Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision-making and project management skills. Expert knowledge of data sources, tools and business drivers. Knowledge of statistical techniques required. Industry knowledge critical. Help business leaders understand performance across phone and digital sales experiences, including key trends, risks, opportunities, and recommended actions. Lead planning and forecasting for new business, including identifying key assumptions and drivers of future performance. Oversee monthly reporting and ongoing performance analysis, ensuring results are accurate, clearly explained, and connected to business outcomes. Guide deeper analysis into meaningful performance changes to determine root causes, identify opportunities, and inform leadership decisions. Partner with Finance, data/reporting, and analytics teams to ensure consistent reporting, shared understanding of business results, and continued improvement of reporting and analytical processes. 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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. Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and 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, Snowflake, 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. Experience with dbt or Databricks is a plus. Domain experience in personal lines Auto, Property, or other insurance product areas. Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes. Strong written and oral communication skills required. 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 Python, SQL, ETL, Spark, Snowflake. 5-7+ years experience as developer with top quadrant Business Intelligence tools.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518084366", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618518199847, "name": "Director, Data Engineering, Analytics & AI", "posting_name": "Director, Data Engineering, Analytics & AI", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1784050320, "t_create": 1783343460, "ats_job_id": "76748", "display_job_id": "2026-76748", "type": "ATS", "id_locale": "2026-76748-en", "job_description": "Foster a culture of technical excellence, innovation, accountability, and continuous learning. Oversee talent strategy including hiring, coaching, performance management, and succession planning. Establish and scale global engineering teams, including vendor and offshore strategies aligned to capacity and cost objectives. Partner with Product, Underwriting, Data, Experience, and Architecture teams to deliver business value and seamless customer experiences. Collaborate with senior and executive leadership to align and define data engineering capabilities with USRM data & enterprise data strategy and modernization goals. Own delivery outcomes, including timelines, quality, system health, and business impact. Represent data teams in planning, budgeting, and resource allocation discussions. Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred. Generally, more than 10 years related experience with 5 years in leadership role. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills; strong presentation skills. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. Be accountable for delivery of AI capability milestones across data and analytics platform capability roadmap Partner closely with Enterprise Architecture, Data Architecture to ensure that the Data engineering aligns with our go-forward architecture strategy and aligns with existing architecture blueprints. Drive cross-functional execution across Snowflake, data integrators, platform teams, and downstream systems Architect and deliver a shared, interoperable data layer that enables seamless data exchange and unified governance between Snowflake and D 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", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518199847", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618517695126, "name": "Director, Operational Data & Reporting, Direct Distribution & Partnerships", "posting_name": "Director, Operational Data & Reporting, Direct Distribution & Partnerships", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1782843960, "t_create": 1781285580, "ats_job_id": "76389", "display_job_id": "2026-76389", "type": "ATS", "id_locale": "2026-76389-en", "job_description": "Lead, mentor, and develop a team of 3-6 data solutions analysts across mixed experience levels, providing technical coaching, career development guidance, and a clear growth path tailored to each individual's career journey. Delegate work effectively by equipping team members with the right context, clearly defined scope, and appropriate autonomy so they can execute with confidence and ownership. Coordinate and provide day-to-day direction to an extended team of offshore analysts, partnering effectively across time zones and with the offshore team lead to ensure alignment on priorities, quality standards, and delivery expectations. Foster a collaborative, high-performing team culture that values continuous learning, technical excellence, and career development, including staying current with emerging tools, AI capabilities, and data engineering methodologies. Serve as the primary point of escalation for complex technical or project challenges, driving timely resolution and removing blockers for the team. 5-7+ years of experience in data management, analytics, business intelligence, or related data environments. 2+ years of people leadership experience, with demonstrated success leading, coaching, and developing technical teams. Strong technical foundation in dimensional modeling, SQL, and Business Intelligence tools (Power BI or equivalent); hands-on experience with Python or scripting languages strongly preferred. Demonstrated ability to manage intake and prioritization across multiple stakeholder groups, with strong judgment on business value, organizational impact, and team capacity. Proven ability to translate vague or business-facing requests into well-scoped, technically actionable work. Experience with data quality practices, metadata management, lineage, and governance principles preferred. Familiarity with cloud data platforms (e.g., Snowflake, AWS) and modern data pipeline practices a plus. Experience supporting distribution, sales, digital, or partnerships domains preferred but not required. Exceptional written and verbal communication skills, with the ability to engage effectively across both technical and non-technical audiences. Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 7-10 years experience in coding for data management, data warehousing, or other data environments, including, SQL, SAS, Snowflake and using Business Intelligence tools like PowerBI. 7-10 years experience with top quadrant Business Intelligence tools Able to identify stakeholder and customer pain points and strategically address those concerns Able to describe value and influence the prioritization of data solutions Able to organize and balance resources to address customer pain points Guides a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers Build strong, trusted relationships with stakeholders by deeply understanding their goals, needs, and pain points, while proactively surfacing insights, managing expectations with transparency, and bridging the gap between business intent and technical delivery. Guide the creation of initiative roadmaps, shaping the team's project portfolio from initial ideation through successful delivery, while continuously identifying opportunities to simplify, standardize, and modernize reporting solutions. Ensure technical quality and best practices across the team's output including dimensional modeling, SQL, Power BI, and Python-based solutions with the credibility to actively coach and review team members' work. Operate effectively as a strategic thought partner to senior leadership, contributing beyond execution to roadmap vision and organizational direction.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517695126", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518094333, "name": "Director, Workforce Planning Programs & Strategy", "posting_name": "Director, Workforce Planning Programs & Strategy", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1783369260, "t_create": 1782747960, "ats_job_id": "76682", "display_job_id": "2026-76682", "type": "ATS", "id_locale": "2026-76682-en", "job_description": "Workforce Planning (WFP) helps the Claims & Service Organization make smarter staffing decisions. Own the Staffing Sophistication Program: Build and execute roadmaps against our four program goals, drive progress toward targets, and keep stakeholders clearly informed on status, milestones, and changes. Ensure opportunities, initiatives, progress, and outcomes are consistently identified, tracked, and communicated\u2014maintaining the governance and visibility mechanisms that keep this complex, cross-functional program on track. Drive execution across a complex, matrixed environment, ensuring work is sequenced smartly, dependencies are managed, and progress is real and sustained. Lead Portfolio Management: Lead portfolio management across WFP's projects and workstreams\u2014many of which span and support the broader Claims & Service organization. Drive alignment on priorities, surface risks, and problem-solve against roadblocks. Bring the structure and accountability that ensures the right work gets done, in the right order, and delivers on its commitments. Dig Into the Analytical Work: Reason through complex, analytical problems alongside the team, taking on project work directly and connecting our analysis to tangible business outcomes. You don't need to be a coder or modeler\u2014but you should be genuinely comfortable in analytical environments, able to engage credibly on quantitative work, and skilled at translating that work into clear business insight. Strengthen How We Operate: Partner with WFP leadership and analysts to build the processes, systems, and operating rhythm that make the team more effective. Champion cross-team coordination, follow through on commitments, and help leadership stay focused on what matters most. Lead Through Influence: You won't have formal authority over most of the people whose work you'll be shaping\u2014and that's by design. Success in this role requires the credibility, judgment, and interpersonal skill to influence peers, senior stakeholders, and organizational leaders. You'll be expected to facilitate difficult prioritization conversations, push back constructively, and earn trust across levels. A strong analytical orientation\u2014comfortable working on and around analytical projects, reasoning quantitatively, and engaging credibly with technical teams and business stakeholders alike. Excellent program and portfolio management skills, with a track record of building roadmaps, maintaining governance, and delivering complex, cross-functional initiatives. The ability to lead through influence\u2014facilitating alignment among peers and senior stakeholders and driving execution across teams without formal authority. Strong process improvement instincts, with experience bringing structure and documentation to environments where processes are manual, varied, or underdefined. Sharp conceptual and problem-solving skills\u2014particularly the ability to challenge conventional thinking and help teams envision future states that are fundamentally more scalable and effective. Clear, confident communication across audiences: analytical teams, business stakeholders, and senior leaders. The judgment and organizational savvy to navigate a matrixed, complex environment\u2014knowing when to push, when to align, and when to escalate. Master's degree in Mathematics, Economics, Statistics or other quantitative field; Ph.D. helpful given quantitative work they are leading. Minimum 8, typically 10, years' experience; must have exceptional planning, analytical, decision-making and project management skills. Expert knowledge of data sources, tools and business drivers. Knowledge of statistical techniques required. Industry knowledge critical.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518094333", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517792660, "name": "Actuarial Analyst, Actuarial Development Program", "posting_name": "Actuarial Analyst, Actuarial Development Program", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1782770760, "t_create": 1781785860, "ats_job_id": "76462", "display_job_id": "2026-76462", "type": "ATS", "id_locale": "2026-76462-en", "job_description": "Maintain status in Actuarial Development Program Produce Actuarial rate level indications for the Pet Insurance products. Research and identify drivers of performance and trends and develop actionable rate and non-rate recommendations to drive profit improvement and profitable growth. Provide actuarial support for pet insurance filings for rate and other new initiatives Develop line-of-business expertise for the pet products and deliver robust profitability views that reflect the latest opinions on experience, trends, and initiatives. Effectively communicate project/analysis findings and recommendations to team members and stakeholders throughout the organization. Build effective stakeholder relationships and influence decisions and actions on recommended product strategies. Retrieve, understands and manipulates data as it relates to assigned and related actuarial projects. Lead and support crossline initiatives and other ad hoc projects as necessary. Proactively identify and act on method and process improvement opportunities. Practice and promote analytical, documentation, and other actuarial best practices. Positive progress towards pursuing and passing of required actuarial exams. The person hired into this role will become a part of our Actuarial Development Program and will rotate within the first two years of hire as part of the Development Program. A requirement of this program is to make positive progress towards achieving ACAS/FCAS. As an Actuarial Development Program participant, you'll be a valued member of a collaborative community of actuarial teammates. In this entry-level rotational program, you'll complete two rotations across a variety of disciplines, including reserving, pricing, modelling, and analytics.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517792660", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517307528, "name": "Actuary, Personal Lines Auto, State Indications", "posting_name": "Actuary, Personal Lines Auto, State Indications", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1783950600, "t_create": 1779323400, "ats_job_id": "76147", "display_job_id": "2026-76147", "type": "ATS", "id_locale": "2026-76147-en", "job_description": "Description Join the Personal Lines Auto State Indications team as an Actuary! In this role, you will be part of a collaborative team that provides valuable insights and guidance for managing our Personal Lines Auto portfolio. Our team's mission is to provide state indications for tailored profit guidance through timely and robust analyses. This is a ranged posting for a Senior Actuarial Analyst or an Actuary. Level offered is based on candidate experience at manager discretion. This role may have in-office requirements depending on candidate location. As an Actuary, you will: Lead work on state indications that serve as a foundation for rate guidance, ensuring that our rate actions and underwriting levers improve each state's profit position. Play a pivotal role in shaping state indication strategy, leveraging a robust suite of actuarial methods. Help identify and propose enhancements to our existing processes and methodologies to drive for operational excellence. Be an influential partner with other Risk Analytics subject matter experts to ensure a comprehensive understanding of unique state features, and collaborate with Directors of State Operations to develop customized state levers. Share your insights and recommendations which will greatly influence state-level decision-making and contribute to our goal of achieving top-quartile profitability. Build trust, credibility, and strong relationships will enable you to influence decisions and execution beyond the Auto Analytics team. Be a senior member of the team and also contribute to fostering an inclusive, equitable, and high-performing culture. Coach and mentor junior team members, sharing your expertise and supporting their development. In this role, you can expect to: Deliver state level indications to internal stakeholders to drive actions and influence decisions to achieve top quartile profitability. Build indications tools and processes to increase our organizational understanding of our methodology and inform state level profitability position. Proactively identify opportunities, drive analysis, and make recommendations for appropriate strategies to develop, evaluate and enhance state level profitability. Act as a trusted partner to State Management to help inform and influence state-specific strategy and tactics, including pricing and underwriting levers. Collaborate with Country Wide (CW) Indications, CW State Analytics, Actuarial, Finance, Claims and Data Science to gain better understanding and assess and improve profitability with a state focus. Support cross-team initiatives to enrich the deliverables with state-specific insights. Building trust and credibility with teams beyond State Analytics to drive decisions and execution. Support an inclusive, equitable and high performing culture. Coach and mentor junior team members. Qualifications Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. About Us Pay Philosophy: 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517307528", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618518094842, "name": "Senior Analyst, Auto Product", "posting_name": "Senior Analyst, Auto Product", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1783958160, "t_create": 1782749880, "ats_job_id": "76683", "display_job_id": "2026-76683", "type": "ATS", "id_locale": "2026-76683-en", "job_description": "Collaborate with cross-functional partners across USRM to evaluate, test and implement quote flow enhancements that move us toward achieving each channel strategy Analyze and recommend improved consumption of prefill data to ensure optimal experience in our quote flow to increase throughput and reduce expenses Support the operationalization of risk classification into the quoting experience by researching and recommending interview question wording and flow tailored to each channel to minimize friction and risk misclassification Analyze logic governing how midterm or renewal transactions are executed to reduce premium leakage and improve retention (e.g., rewrites, rescores, sensitive life events such as Bereavement endorsement) Conduct competitive intelligence research and deliver product insights that inform experience design decisions Intellectually curious - excited to solve complex problems and identify new opportunities Analytical and technical - able to gather, interpret, and evaluate data across multiple sources; proficient in Excel, SAS/Snowflake, PowerPoint. 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