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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In-depth knowledge of Power BI architecture, data models, and report/dashboard development. Experience in administering Power BI workspaces, managing datasets, and configuring Power BI Gateways. Strong understanding of data modeling concepts, DAX (Data Analysis Expressions), and Power Query for data transformation. Familiarity with data warehousing concepts and ETL processes related to Power BI and Tableau preferred. Strong analytical skills to interpret data and provide actionable insights. 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At Liberty, we pride ourselves on fostering a collaborative and dynamic work environment where your contributions directly impact our projects' success. If you're passionate about technology and eager to make a difference, we'd love to hear from you! Bachelor degree in technical or business discipline or equivalent experience Minimum 3+ years of Configuration Analyst experience. Experience with reinsurance systems, contracts, accounting, and knowledge of reinsurance calculations preferred. Proficiency in DB Visualizer and Power BI preferred. A solid understanding agile methodologies will also be highly beneficial. Strong oral and written communication skills and presentation skills. Proficient in negotiation, facilitation and consensus building skills. Strong problem-solving skills required. Understanding of agile software development concepts and processes Must be proactive and demonstrate initiative and be a logical thinker Consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements. Thorough understanding of backlog tracking, burndown metrics, and incremental delivery. 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Designs and develops programs and tools to support ingestion, curation, and provisioning of complex enterprise data to achieve analytics, reporting, and data science. Builds strong knowledge of technology enablers. Analyzes and prepares complex technology enabled recommendations to address gaps within a single business process. Provides successful deployment and provisioning of data solutions to production or other required environments. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs and builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Employer will accept a bachelor's degree (or foreign equivalent) in Electronics Engineering or a related field and 5 years of experience in the job offered or in a Senior Data Engineer-related occupation. Working knowledge of AWS, Snowflake, Informatica, SQL. Designing and building data pipelines. Designing and building data provisioning workflows. Data ingestion, curation & provisioning. Data extracts & transformations. Data Integration. Data reliability & quality. SQL Development. 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Collaborate closely with external valuation partners to ensure that critical reporting deadlines and deliverables are met in accordance with service agreements. Prepare comprehensive valuation memoranda and supporting documentation for presentation to the LMI Valuation Committee on a quarterly basis. Coordinate with internal and external auditors to ensure thorough documentation of valuation-related procedures and controls. Provide ad hoc advisory services to senior management related to portfolio monitoring, new investment strategies, asset acquisitions, divestitures, and restructurings. Establish and maintain strong collaborative partnerships with LMI investment teams, Corporate Finance, external valuation partners, external auditors, and internal stakeholders. Bachelor's degree in Accounting, Finance, or Business required. 2-3 years of relevant work experience, including experience in a valuation capacity at a professional services/Big 4 firm or investment management firm. Demonstrated progress towards achieving the CFA designation or CPA credential. Proficient in financial modeling and valuation techniques, including discounted cash flow analysis, recovery/liquidation analysis, financial statement review, credit monitoring, and market data analysis. Experience in identifying valuation issues, conducting research, and presenting solutions while leveraging a solid understanding of complex financial instruments and valuation concepts. In-depth knowledge of fair value measurement and CECL allowance standards. Strong interpersonal skills with effective oral and written communication capabilities. Ability to collaborate effectively across varying experience levels in a team environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502289518", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503244631, "name": "Director I, Data Steward - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1746633540, "t_create": 1742909280, "ats_job_id": "69424", "display_job_id": "2025-69424", "type": "ATS", "id_locale": "2025-69424-en", "job_description": "Independently work on implementing, automating, and strengthening data management and data quality controls within a central and federated data steward model. Identify quality metrics and thresholds by working with the business data owners and users. As a recognized subject matter expert, owns and publishes reports related to quality metrics along with root cause analysis and mitigation options to the end user community. Identify and manage the resolution of complex data quality issues in a timely fashion. Consults on the management of data throughout its lifecycle from creation to retirement by participating in the development, definition, and execution of policies, guidelines, and quality control procedures for the reporting and dissemination of data. Demonstrate a mastery over multiple domains (i.e. MDM, lineage, data security, data quality, etc.) in solving business use cases. Works with stakeholders to define metrics that are impactful for the business. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. At least 10-15 years of experience in asset management or financial services, including extensive experience with portfolio relevant data and analytics. Strategic Thinking: Ability to analyze complex problems, identify patterns, and develop insights that can inform business decisions. Strong technical expertise: You should possess a high level of understanding of financial industry and in particular asset management internal and external data set content, expertise in data analytics, data management, and data modeling. You should be proficient in programming languages such as both Python and SQL. Knowledge of data visualization tools, such as Power BI, is also desirable. Strong domain knowledge: Demonstrate a mastery over multiple domains (i.e. ABOR, IBOR, MDM, lineage, data quality, etc.) in solving business use cases. Develop and define data validation, verification, and reconciliation strategies to support data governance, stewardship, and security. Financial Industry Expertise: You should have a deep understanding of financial industry master data, market data, and portfolio analytics. You should be familiar with the financial instruments and the various financial data sources in the asset management industry. Data Governance and Management: You should be well-versed in data governance principles and should have experience in developing and implementing data governance policies and procedures and standards. Analytical & Problem-Solving Skills: You should possess strong problem-solving skills and be able to design and implement solutions to complex data management challenges. Organizational Skills: Demonstrate ability to define, organize and roadmap multiple priorities simultaneously. Communication and Collaboration Skills: You should have excellent communication and collaboration skills to effectively work with different teams within the organization, such as IT, investment management, operations, finance, and compliance as well as externally with data and platform solutions providers. 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Proficient in Excel, PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Knowledge of data sources, tools and common statistical principals. Understanding of intricacies of business supported is helpful. Understands how actions tie to systems capabilities and flow through to our financials/business drivers. Ability to learn how to build simple tools and queries for others to use.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504502144", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618504546782, "name": "Senior Analyst, Product Research", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1747833900, "t_create": 1747333140, "ats_job_id": "70267", "display_job_id": "2025-70267", "type": "ATS", "id_locale": "2025-70267-en", "job_description": "Fully own and execute on assigned states' end-to-end rollout of the latest personal auto insurance pricing programs. Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. Provides technical training and user support to business groups. Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years. Master's degree beneficial. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills. 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Perform general administrative tasks, including assisting Finance with collections and addressing billing/premium discrepancies. Offer technical support within the office, collaborating with the Department Application Specialist to resolve issues. Participate in User Acceptance Testing as required and undertake additional duties as assigned. High school diploma or equivalent required. 1+ year related experience required. Strong written and oral communication skills to correspond with office personnel and agents. Exceptional customer service skills. Demonstrates ability to work well on a team and independently. Good organizational skills. Competent and proficient with computer software applications utilized by Surety. 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Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus). 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. 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