Description The Specialty Product Design and Modeling Team are the team behind the science of pricing for Liberty Mutual's Specialty Lines products (Landlord, Umbrella, Condo, Renters, Specialty Vehicles). Using advanced predictive analytics and statistical modeling, we build and refine rating programs that drive profitable growth. But we're more than a modeling team. We shape strategy, decide which variables matter, source the best data, and design rating programs that give Liberty Mutual a genuine competitive edge. About the Role: This is Director level position is a senior individual contributor role reporting to the Specialty Senior Director with two core components: - Frontier Program Representation: Liberty Mutual is transforming US Retail Markets Personal Lines through radical simplification - one unified set of products across all distribution channels, digitally enabled experiences, and a modern Unified Insurance Platform (UIP) built for simplicity, speed, and scale. You will serve as the primary Specialty Data Science representative on this cross-functional effort, translating deep expertise in Specialty rating programs into clear requirements that inform the platform build. This isn't a program management role - it's about ensuring the science of how we price is preserved, correctly implemented, and positioned to evolve on the new platform. - Research: Beyond Frontier, you will advance the science of Specialty pricing - researching new modeling techniques, evaluating novel data sources, and improving segmentation - while contributing to high-impact research and modeling work across the Specialty portfolio. What You'll Do: - Own Specialty's voice on Frontier - ensure our requirements are heard, documented, and built correctly across a multi-year transformation - Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines - Connect the dots across Product, Technology, Delivery, and Actuarial teams - keep work moving and surface problems early - Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge - Flex across the Specialty team to support high-priority modeling and analytical work - Tell the story - communicate complex technical work clearly to senior leaders and cross-functional partners Ideal Candidate: - You're energized by complex problems and equally comfortable in model details and executive conversations - You don't wait to be told what to do - you figure out what needs to happen and make it happen - You thrive in ambiguity and pick up new domains faster than most - You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem) - You are able to collaborate and achieve alignment across large cross-functional teams Preferred Qualifications: Education & Experience - Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered - 6-8 years of relevant insurance experience preferred Technical Skills - Deep knowledge of predictive analytic techniques and statistical model diagnostics - Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel) - Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans) Leadership & Communication - Demonstrated ability to communicate complex information clearly - verbally, visually, and in writing - across varied audiences and stakeholder levels - Skilled at building relationships and driving alignment across large, cross-functional teams - Ability to use data and analysis to influence teams, department heads, and senior leadership - Value-driven mindset with strong awareness of business context and impact - Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities **Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. ** Qualifications - Broad knowledge of predictive analytic techniques and statistical diagnostics of models. - Advanced knowledge of predictive toolset; reflects as expert resource for tool development. - Demonstrated ability to exchange ideas and convey complex information clearly and concisely. - Ability to establish and build relationships within and outside the organization. - Ability to give effective training and presentations to management and other groups. - Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. - Broad knowledge of business drivers and market context. - Has a value driven perspective with regard to understanding of work context and impact. - Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience. 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 $137,000.00 - 257,000.00

Role Description ProPublica is seeking a data analyst to assist the development team in building out the reporting infrastructure that supports sustainable donor growth across our development team. This 12-month temporary position will focus on strengthening Salesforce reporting, donor acquisition tracking and fundraising analytics across membership, midlevel giving and major gifts. Reporting to the director of development services, you'll work closely with colleagues across the development, membership and product teams to improve how donor behavior is tracked and measured across systems including Salesforce, Sailthru, Classy/GoFundMe Pro, Parse.ly and Google Analytics. The ideal candidate combines strong analytical skills with a systems mindset and can translate fundraising questions into reporting frameworks that support better decision-making across the organization. Responsibilities - Assess and strengthen Salesforce reporting capabilities, identifying gaps and opportunities for improvement. - Build and standardize reporting that supports donor acquisition, retention, recurring giving conversion, upgrades, lapses, reactivation and donor progression. - Develop consistent attribution methodologies for donor acquisition and first-gift tracking. - Create shared reporting definitions, documentation and business rules that improve consistency across teams. - Evaluate how donor, campaign and engagement data flows between Salesforce and connected systems, including Sailthru, Classy/GoFundMe Pro, Stripe and other fundraising platforms. - Identify data quality issues, attribution gaps and reporting inconsistencies, and recommend practical solutions. - Partner with product and development services to improve reporting reliability, data quality and donor journey visibility. - Help define and operationalize donor acquisition pathways across channels, including newsletters, website traffic and paid acquisition. - Build dashboards and recurring reporting tools that support fundraising strategy, campaign analysis, audience segmentation and leadership decision-making. - Reduce reliance on manual spreadsheets and ad hoc reporting by creating scalable, self-service reporting resources. Qualifications - 5+ years of experience building reports, dashboards and analytical frameworks in Salesforce. - Experience with donor databases, CRM systems and fundraising operations, ideally within nonprofit, membership or philanthropy organizations. - Strong understanding of donor acquisition, retention, recurring giving, donor upgrades and life cycle reporting. - Experience working across integrated systems such as Salesforce, email service providers and donation platforms. - Ability to translate complex business questions into clear reporting structures and actionable insights. - Strong SQL skills required; experience with Python, R or data visualization tools is a plus. - Comfort working in evolving environments and improving systems incrementally. - Strong communication and collaboration skills, with the ability to work effectively across technical and nontechnical teams. - An entrepreneurial approach to problem-solving and stakeholder engagement. What Success in This Role Looks Like - Development teams can reliably identify where donors come from and how they move through the donor life cycle. - Leadership can track acquisition performance and fundraising outcomes without extensive manual analysis. - Core donor journey reporting is documented, trusted and widely used. - Salesforce reporting is significantly stronger and easier for teams to use independently. - Cross-functional teams operate from shared reporting definitions and metrics. - Staff spend less time gathering data and more time acting on insights. Benefits - This job is full time and includes benefits. - ProPublica is based in New York, but we’re open to remote candidates. - We have offices in New York City; Washington, D.C.; Atlanta; Chicago; Phoenix; and Berkeley, California. - Applicants must be eligible to work in the U.S. - The expected salary range for this position is $95,000 to $115,000. - This is a good-faith estimate of what we expect to pay for this position. - The final salary figure will take into account a person’s experience, accomplishment and location. - ProPublica is committed to paying its staff equitably.

Role Description We are seeking a highly skilled Business & Data Analyst leader to support a strategic, enterprise-wide transformation of the end-to-end client financial workflow. This role will serve as a senior analytical leader within the program, responsible for driving business requirements, end‑to‑end process redesign, data insights, and analytical solutions that modernize legacy processes and enable automation, AI-driven capabilities, and a modern technology ecosystem. The Lead Business & Data Analyst will work closely with the Director of Program Delivery, cross-functional business stakeholders, and technical teams to ensure the program delivers measurable business value, improved operational efficiency, and enhanced data-driven decision-making. Key Responsibilities - Business Analysis & Process Transformation - Lead end-to-end business requirements gathering across multiple functional areas (Finance, Operations, Accounting, Sales/Account Management). - Translate strategic objectives into clear business needs, functional requirements, and acceptance criteria. - Conduct current-state and future-state process mapping, identifying gaps, inefficiencies, and automation opportunities. - Partner with process owners to redesign workflows and ensure alignment with enterprise standards. - Data Analysis & Insights - Analyze complex financial, operational, and client data to identify trends, root causes, and opportunities for optimization. - Develop data models, business rules, and analytical frameworks to support forecasting, reporting, and performance measurement. - Validate data quality and work with technical teams to ensure data integrity across systems. - Solution Design & Technology Enablement - Collaborate with engineers, AI solution teams, and business partners to translate business needs into actionable technical requirements. - Contribute to the design of AI-enabled use cases, automation logic, and decision-support tools. - Participate in testing strategies, including UAT, data validation, workflow verification, and defect resolution. - Stakeholder Engagement & Communication - Serve as a key liaison between business teams and technology teams, ensuring clarity and alignment. - Facilitate workshops, working sessions, and presentations to drive consensus and decision-making. - Communicate progress, risks, and dependencies across program leadership and cross-functional stakeholders. - Program Support & Governance - Ensure deliverables adhere to program timelines, governance standards, and quality benchmarks. - Support the Director of Program Delivery in milestone planning, prioritization, and risk mitigation. Qualifications - Bachelor’s degree in Business, Finance, Information Systems, Analytics, or related field. - 5 + years of experience in business analysis, data analysis, or process transformation within large-scale organizations. - Experience supporting enterprise programs involving system modernization, workflow redesign, automation, or data/AI-enabled capabilities. - Strong background in financial workflow processes, operational analytics, and cross-functional business engagement. - Experience working with global teams. - Expertise in business requirements documentation, process mapping, and workflow design. - Strong analytical and quantitative skills; ability to work with large datasets and derive actionable insights. - Proficiency with analytical tools (e.g., SQL, Excel, BI platforms) and familiarity with modern data technologies. - Ability to translate complex concepts into clear, actionable requirements. - Strong communication, facilitation, and stakeholder management skills. - Detail-oriented with the ability to operate in a fast-paced, evolving environment. Requirements - If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. - For this position, we anticipate offering an annual salary of 98,200 - 163,600 USD / yearly, depending on relevant factors, including experience and geographic location. - This role is also anticipated to be eligible to participate in an annual bonus plan. Benefits - Comprehensive range of benefits, focusing on supporting your whole health. - Health-related benefits including medical, vision, dental, and well-being and behavioral health programs. - 401(k) and company paid life insurance. - Tuition reimbursement. - A minimum of 18 days of paid time off per year. - Paid holidays and leaves of absence.

• Provides administrative and clerical support to a sales team during the busiest time of the year • Spreadsheeting using Microsoft Excel • Supporting quoting team with proposal creation • Entering customer information into our systems • Directing calls or responding to inquiries • Scheduling appointments • Working on projects as assigned