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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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 3-5 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502587427", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502587431, "name": "Principal 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": 1747425480, "t_create": 1739820060, "ats_job_id": "68772", "display_job_id": "2025-68772", "type": "ATS", "id_locale": "2025-68772-en", "job_description": "Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs. 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. 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/618502587431", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503500021, "name": "Principal Data Strategist", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1747056360, "t_create": 1744217520, "ats_job_id": "69664", "display_job_id": "2025-69664", "type": "ATS", "id_locale": "2025-69664-en", "job_description": "Set a data strategy vision by looking outward to understanding emerging trends and business needs. Develop an enablement strategy to deliver value-driven use cases aligned to business needs. Develop a maturity strategy focused on advancing data fundamentals. The initial focus of this role will be to develop a strategy to advance in risk management and data privacy. Other strategic projects will be assigned as needed. Update and present to senior leaders and executives to align on the vision and data impact. Define key performance indicators (KPIs) to measure the success of the data strategy. Communicate the data strategy and its progress to stakeholders to gain buy-in. Lead and oversee the execution of large-scale data initiatives and projects. Partner with product owners, analysts, and engineers to enable strategic initiatives. Foster a data-driven culture within the organization to encourage data literacy and data-driven decisions. Champion data initiatives and secure support from stakeholders at all levels. Demonstrated ability to design and execute strategies aligned with business goals. Proficient in translating complex data strategies into compelling narratives that drive decision-making. Expertise and experience in data governance, privacy, security, and risk management practices and can influence setting future state frameworks Demonstrated understanding of Data Analytics platforms and practices, particularly related to industry trends. Skilled in utilizing data visualization techniques to present insights in a storytelling format. Experienced in developing high-quality presentations using PowerPoint to clearly communicate key messages. Demonstrated expertise in communicating intricate topics effectively to varied stakeholders, including senior leaders. Experienced in analyzing data to provide compelling recommendations that drive decision outcomes. Demonstrated ability to manage and execute complex, long-term projects involving multiple teams across the organization. Strong knowledge of data warehousing platforms (i.e. Snowflake) BA/BS or Master's in Data Analytics, Business Administration, Information Managements, Operational Research or related field; 5-7+ years of experience working in data analytics, data governance, strategic or business planning, project management, and/or technical data management.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503500021", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504307104, "name": "Sr Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1746743100, "t_create": 1746199260, "ats_job_id": "70059", "display_job_id": "2025-70059", "type": "ATS", "id_locale": "2025-70059-en", "job_description": "Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform. Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of financial insurance knowledge and multiple coding languages to meet technical and business requirements. Ability to perform iterative solution testing to ensure specifications are met. Outstanding organizational skills and ability to manage multiple priorities while maintaining attention to detail and ensuring tasks are completed accurately and timely. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques and demonstrated experience in fostering cross-functional collaboration between business and technology teams. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. Ability to create visual tools to display complex processes or concepts (Lucid or Mural experience a plus) Bachelor`s Degree in Math, Business, Computer Science, Computer Engineering, or related discipline preferred 3-5 years experience in coding for data management, data warehousing, or other data environments. 3-5 years of experience in accounting, finance or data analysis is preferred Insurance experience required Strong written and oral communication skills required Jira experience strongly preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504307104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503865170, "name": "Assistant Director, Data Solutions - 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": 1746633360, "t_create": 1745419200, "ats_job_id": "69934", "display_job_id": "2025-69934", "type": "ATS", "id_locale": "2025-69934-en", "job_description": "Help support LMI's enterprise data strategy, with a focus on driving business value, operational efficiency, and insight generation across the investment lifecycle. Own and evolve a portion of the data strategy roadmap?focused on moderate-to-high complexity areas?by identifying emerging needs, aligning with core capabilities, and adapting the roadmap as priorities shift. Collaborate across Data, Product, and Technology teams to support coordinated execution and ensure solutions remain aligned to the strategic roadmap. Translate complex business and investment requirements into clearly defined data strategies, use cases, and framing documents that drive decision-making and execution. Monitor best-in-class firms and emerging industry trends in asset management data strategy. Curate and socialize learnings with internal teams to influence roadmap direction and inspire new use cases. Act as a compelling storyteller, capable of synthesizing strategic insights and value narratives to gain stakeholder support and shape executive-level decision-making. Develop business cases and ROI models that articulate the value of data investments. 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. Strong analytical and strategic thinking skills; ability to identify patterns and opportunities across multiple domains and align them with organizational goals. 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Participates in peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD). Analyze Snowflake metadata (Information schema) tables to understand the access pattern and create report. Design and build data access provisioning platform with API microservices and react Portal Design and develop programs and tools to support access provisioning, data security, data discovery and threat modeling. Bachelor's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 3+ years of professional access management experience. Proficient in data access patterns and tools, and good proficiency in general programming languages and frameworks. Good understanding of agile and processes, such as CICD, pipelines, and iterative development and deployments Demonstratable experience in delivering solutions in Snowflake access management, BigID (Data Discovery). Experience in Java Spring boot (Microservice), JavaScript, React (UX) and SQL Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong communication, collaboration skills with a track record of taking ownership of the Task. Knowledge in the following areas will be Plus: personal P&C insurance, general IT concepts, strategies and methodologies, knowledge of data security principles and concepts, understanding of access patterns and threat models.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503864757", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618503322305, "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": 1744037640, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. Strong advocate for design thinking, clean code, and test-driven development", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503322305", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743429120, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "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. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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://LMI.co/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. 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Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. 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, SQL, Snowflake, Python, R). Must have good planning, analytical, decision-making and communication skills. 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ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} 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only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top 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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 a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973: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-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;}