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Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
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 This is a fully remote role supporting our GMP Laboratory in Middleton, WI. We welcome applications from all locations within the US. - Must be legally authorized to work in the United States without sponsorship. - Must be able to pass a comprehensive background check, which includes a drug screening. At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner, and safer. - Performs review of a variety of complex analytical analysis experiments that are conducted on pharmaceutical and biopharmaceutical compounds in various formulations and/or biological matrices. - Possess a thorough understanding of laboratory procedures and can reliably conduct routine, non-routine (method establishment), and complex analytical data review ensuring scientific soundness and adhering to method validation. - Ensures analyses are following validated or experimental analytical procedures, and compare results to methodology, protocol and product specifications, Standard Operating Procedures (SOPs) acceptance criteria, and Good Manufacturing Practices (GMP). - Reviews data entered into databases and reports and monitors the quality and scientific soundness of the laboratory data. A Day in the Life - Performs complex analytical data review, evaluating laboratory data for compliance with analytical methods, SOPs, client directives and scientific soundness. - Reviews development analyses of non-routine projects. - Performs analytical data review of method qualification, verification, and validations interpreting the data for compliance and technical soundness. - Performs reviews routine and non-routine protocol and methods. - Facilitates in conversations with lab staff on best documentation practices and addressing quality findings. - Delivers review findings noting deficiencies within the analytical data or reports in a clear and concise manner. - Escalates significant deficiencies to the project leader or supervisor for assessment. - Trains new Data Reviewers and laboratory staff in basic and complex analytical data review. - Mentors junior data review staff in review process. - Advocates the departmental manager or supervisor in the evaluation of the laboratory Data Review process and assists in assigning work to self and others. - Identifies and drives process improvement initiatives. - Performs other duties as assigned. Qualifications - Bachelor’s degree or equivalent and relevant formal academic/vocational qualification. - Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to 5+ years’) or equivalent combination of education, training, & experience. - In some cases, an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role. Requirements - Previous experience with formal data review in GMP Lab strongly preferred. - Thorough knowledge of SOPs and Federal Regulations to include GLP and GMP. - Thorough knowledge of chromatography may be required. - Strong technical knowledge of method validation and probable cause evaluation. - Strong technical knowledge including an understanding of laboratory procedures, methodology and standards. - Strong verbal and written communication skills. - Strong attention to detail. - Ability to balance time and remain focused on work to meet goals. - Ability to train and mentor junior data review and lab staff. - Ability to independently review laboratory reports and analytical methods with minimal oversight. - Ability to deal with multiple and changing priorities. - Ability to provide clear and concise feedback and/or documentation of results. - Ability to work in a collaborative team environment. Work Environment - Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner. - Able to work upright and stationary and/or standing for typical working hours. - Able to lift and move objects up to 25 pounds. - Able to work in non-traditional work environments. - Able to use and learn standard office equipment and technology with proficiency. - May have exposure to potentially hazardous elements, including infectious agents, typically found in healthcare or laboratory environments. - Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
Role Description We are looking for a dedicated Data Entry Specialist to join our growing team at Spotter. This individual will play a key role in managing and maintaining the integrity of data within our systems. As a Data Entry Specialist, you will be responsible for accurately inputting, organizing, and updating various types of data in our databases, spreadsheets, and other internal tools. You will work closely with our teams across departments, ensuring that data is consistent, reliable, and ready for analysis, helping us to deliver high-quality results for our clients. This role requires a strong attention to detail, the ability to manage large datasets, and a commitment to accuracy. As part of the Spotter team, you will be integral to maintaining smooth data operations and supporting our AI-powered solutions. Key Responsibilities - Data Entry and Management: Enter and update large volumes of data into various internal systems, ensuring that all data is accurate, complete, and well-organized. - Data Validation and Quality Assurance: Regularly review and verify data for completeness and accuracy. Correct errors or inconsistencies in datasets. - Data Organization: Organize and classify data into relevant categories, making sure it is easy to access and retrieve for analysis. - Collaboration with Teams: Work closely with various departments to ensure that data is accurately entered and integrated across multiple systems. - Data Reporting Support: Assist in the creation and preparation of reports, documents, and presentations based on data collected from various sources. - Routine Data Audits: Conduct regular data audits to ensure data integrity is maintained. - Automation and Efficiency Improvements: Collaborate with the technical team to identify areas where data entry processes can be streamlined or automated. - Maintaining Confidentiality and Security: Handle all data with the utmost confidentiality, ensuring that sensitive information is protected. - Continuous Learning: Stay updated on the latest tools, techniques, and technologies used in data management and data entry. - Timely and Accurate Work: Adhere to deadlines and maintain high productivity levels. Qualifications - Strong attention to detail. - Ability to manage large datasets. - Commitment to accuracy. Requirements - Experience with data entry and management. - Familiarity with data validation and quality assurance processes. - Proficiency in using spreadsheets and internal tools. Benefits - Opportunities for training and development. - Supportive team environment. - Access to AI-powered tools for efficiency improvements.
Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
Description At Liberty Mutual, the Insights & Solutions group uses data, analytics, and technology to deliver innovative solutions that drive our US Retail Markets business forward. Within it, the Claims Data Science team focuses on developing sophisticated AI/ML driven solutions to help create the most accurate, caring, and efficient claims organization in the insurance industry. Claims Data Science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims Data Science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage! **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. ** As an Assistant Director you will: • Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions. • Lead end-to-end development of new predictive models for high-impact business outcomes (e.g., improving claims handling efficiency): frame and test hypotheses, design statistically rigorous experiments, assemble/label training data, engineer features, and train/validate models. • Build state-of-the-art ML systems that leverage structured data, unstructured text, and generative AI. • Select and implement appropriate algorithms and evaluation methods to deliver measurable accuracy and business value. • Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. • Stay up-to-date with the latest advancements in data science and machine learning, and apply them to solving complex problems in the insurance claims domain. • Provide technical mentorship and guidance to junior data scientists. • Responsible for larger components of projects of moderate to high complexity. • Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. • Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Preferred skills and experience: • Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle. • Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference). • Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market. • Experience working with complex Type II data to assemble training datasets to appropriately model operational processes. • Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Additional skills and experiences that are nice to have: • Knowledge of claims handling processes and experience working with claims data. • Experience developing LLM-based solutions for production use cases. • Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure. • Familiarity with data pipeline and workflow management tools like Airflow, among others. Qualifications - Broad knowledge of predictive analytic techniques and statistical diagnostics of models. - Expert knowledge of predictive toolset; reflects as expert resource for tool development. - Demonstrated ability to exchange ideas and convey complex information clearly and concisely. - Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. - Ability to give effective training and presentations to peers, management and less senior business leaders. - Ability to use results of analysis to persuade team or department management to a particular course of action. - 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 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 5+ 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 $120,000.00 - 225,000.00
Based in Indiana, Franciscan Health is one of the Midwest's largest Catholic healthcare systems. Founded in 1876, the nonprofit organization was named one of Tr
Role Description At Franciscan, our IS Enterprise Digital Solutions Architect ("Architect") is a strategic and hands-on technical leader responsible for designing and delivering enterprise-grade digital solutions across data analytics, automation, interfaces, and AI domains. In this role you will be accountable for creating a cohesive architectural strategy that unifies the organization's technology stack to solve complex business challenges and advance digital transformation. - Lead the architectural vision, reference models, and standards for several domains including data, AI, and automation. - Serve as the Product Owner for prioritized digital, AI, and solutions development initiatives. - Increase the analytics, AI, and solutions development maturity for the organization. - Drive best practices and continuous improvement in various domains. - Effectively lead to promote, deliver, and adopt mature and robust solutions. - Define, articulate, and update the guiding principles that drive the technical standards. - Prescribe and optimize the use of modern platforms and capabilities. - Drive reuse of components, modular architecture, and standardized practices across business units. Qualifications - Required: Bachelor's Degree in Computer Science, Informatics, Computer Programming, Engineering (Computer, Mechanical, Network, or Electrical), Information Security. - Preferred: Master's Degree in Computer Science, Informatics, Computer Programming, Engineering (Computer, Mechanical, Network, or Electrical), Information Security. - 10+ years of hands-on solutions development and architecture across cloud and on-prem environments. - 8 years of custom development experience with deep understanding of IT systems, applications, data structures, and infrastructure. - 8 years of software development/engineering and programming with one or more industry standard languages such as SQL, Python, Java, C++ etc. - 7 years of progressive experience in enterprise architecture or IT strategy roles. - 5 years of experience with cloud-native tools and technologies on Microsoft Azure platform. - 5 years of experience with healthcare enterprise platforms such as Epic, Workday, ServiceNow etc. (Preferred). - 5 years of healthcare technology experience, particularly within hospital systems or integrated delivery networks (Preferred). Requirements - Travel is required: Never or Rarely. - Job Range: IS Enterprise Digital Solutions Architect $117,340 - $161,343.63. Benefits Franciscan provides eligible employees with comprehensive benefit offerings. Find an overview on the benefit section of our career site, jobs.franciscanhealth.org.
Role Description Maximo Senior Data Lead responsible for designing and executing data migration strategies for USPS Maximo implementations. Reviews source system architecture and data, identifies required data elements, and develops migration plans. Creates custom migration objects and workflows to import and validate data. Oversees transformation of historical data and ensures alignment with project timelines and dependencies. Supports database performance, integrity, and compliance across multiple platforms and environments. Must be able to work without direct input from USPS staff, while ensuring that outcomes are aligned with USPS vision, mission, and objectives. Technical skills, programming expertise, and knowledge of Maximo data structures are a given. - Monitor data migration workstreams and coordinate activities with project team (10%) - Lead data analysis (25%) - Develop data migration strategies (25%) - Create data migration objects (10%) - Execute data migration (10%) - Quality reviews (20%) Qualifications - Master's degree or higher in Computer Science, Engineering, Applied Mathematics, or other technical or mathematical fields with 5 years of experience in federal OR - Bachelor's degree or higher in Computer Science, Engineering, Applied Mathematics, or other technical or mathematical fields with 10 years of experience in federal OR - 10+ years of experience with Data and Optimization program definition and execution across multiple industries - 5+ years of experience with data governance and implementing data management standards across large-scale projects and organizations Requirements - Maximo 9 Experience - Microsoft Excel - Microsoft Word - MS SQL or Similar Databases - ETL Tools - Excellent Verbal and Communication Skills Benefits - Work Type: Remote - Travel is Required - Candidate must be eligible for Security Clearance: United States - MBI - To be considered for work per project needs, a candidate must be either a U.S. Citizen or a Permanent Resident Alien (No HQ visa holders).
Proficiency with creating CI/CD pipelines and stages with Harness using YAML templates. Kong plugin development using Lua or Go. Experience with Package Managers like LuaRocks. Experience with containerization (Docker), and orchestration tools (Kubernetes). Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with monitoring and logging tools like Datadog and OpenTelemetry.
Role Description We are seeking a highly experienced Test Data Management (TDM) Architect with deep expertise in enterprise-level TDM solutions, data provisioning, masking, virtualization, and automation. The ideal candidate will have a strong technical background, excellent analytical skills, and hands-on experience with leading TDM tools and platforms. - Lead the end-to-end Test Data Management lifecycle—from requirement intake to delivery, restoration, and ongoing optimization. - Design and implement enterprise-level TDM strategies aligned with organizational goals, including: - Test data provisioning - Masking - Synthetic data generation - Compliance with data privacy regulations (e.g., GDPR, HIPAA) - Architect scalable, automated TDM solutions within Agile and DevOps frameworks, integrating CI/CD pipelines and data pipelines. - Manage and optimize data virtualization, self-service data provisioning, and automation via REST APIs using platforms such as Delphix. - Develop and maintain TDM workflows leveraging Broadcom CA TDM components, including: - TDM Portal - Fast Data Masker - Data Maker - Data Subsetting - Javelin - Ensure high performance, scalability, and operational efficiency of TDM systems. - Collaborate with cross-functional teams to assess business needs and drive continuous TDM process improvements. - Work with relational and non-relational databases (Oracle, SQL Server, MySQL, Teradata, MongoDB, cloud storage) to support both structured and unstructured data requirements. - Support containerization and modern data engineering practices; familiarity with tools such as Docker is a plus. - Contribute to data quality initiatives, ETL/ELT processes, and data profiling efforts. Qualifications - 8 to 15 years of experience in Test Data Management using tools such as Broadcom CA TDM, Delphix, Informatica TDM, Javelin, and GenRocket. - Extensive hands-on experience with Broadcom CA TDM components, including: - Project creation - Data modeling - Masking - Generation - Self-service interfaces - Workflow design - Proven expertise in data virtualization and automation using Delphix. - Strong analytical and problem-solving skills with the ability to architect and improve data management solutions. - Deep understanding of database technologies across relational and non-relational ecosystems. - Experience delivering TDM solutions within Agile/DevOps environments.
Role Description As a Data Analyst, team members use analytical, technical, and organizational skills to respond to requests from external and internal stakeholders. With guidance from senior team members, the Data Analyst extracts and aggregates data to create reports containing descriptive analyses of Curriculum Associates’ educational assessment data at the national, state, or district level. The impact you'll have: - Use information from internal and external stakeholders to fulfill requests for data reports and analyses. - Develop SQL queries to efficiently extract and aggregate data from large relational databases. - Leverage and modify existing code to generate reports that meet educator needs. - Develop code to extract, filter, manipulate, aggregate, and format data. - Identify the “story” behind student data in response to educator questions and concerns. - With support and guidance from senior team members, write clear and understandable internal- and educator-facing responses to inquiries based on analytical findings. - Create and maintain technical documentation for analytic procedures in tools like Confluence and GitHub. - Develop and maintain an understanding of Curriculum Associates’ product offerings. - Manage multiple tasks while maintaining a high level of attention to detail. Note: The essential duties are intended to describe the general content and requirements of this position and are not intended to be an exhaustive statement of duties. Specific responsibilities and assignments will be provided by the incumbent’s manager. Qualifications - Excellent problem solving and analytical capability. - Excellent written and verbal communication skills, ideally with experience communicating complex technical topics to lay audiences. - SQL coding skills including the ability to efficiently pull and aggregate data from large relational databases. - Ability to write code in one or more programming languages (SAS preferred) to extract, filter, manipulate, aggregate and format data. - Ability to convey complex, technical information in tangible and meaningful ways primarily through writing. - Ability to thrive in a fast-paced environment and adapt to changing priorities as needs shift or customer issues arise. - Excellent interpersonal skills, with a focus on collaboration and teamwork. - Excellent organizational and time management skills with the ability to manage multiple tasks with competing timelines. - Commitment to improving the learning of all students through research-based practices, including students who are part of demographic groups that have been historically marginalized, students who receive special education services, students who are English learners, and striving students who are not yet on grade-level. Requirements - Bachelor’s degree and at least one year of applied experience in data analytics querying large databases, or a combination of education and experience in a related field that proves competency in the requirements of the job. - Applied experience coding in SQL, writing queries to join multiple tables within a large relational database. - Especially well qualified candidates will also have experience in the field of education and knowledge of educational measurement principles, including familiarity with psychometric concepts such as measurement error, validity, and reliability estimation. - Must be able to provide writing samples and be willing to complete an analytic performance task. Travel - Less than 20%, primarily to company offices and team meetings. Benefits - Pay Range – This role’s range is $60,750-$99,750. - Benefit eligible employees (and their families) are covered by medical, dental, vision, and basic life insurance. - Employees can enroll in our company’s 401k plan and receive an employer match. - Employees have access to a flexible vacation and sick policy in addition to twelve paid holidays and a winter office closure between Christmas and New Year's, as well as a number of additional perks and benefits. Application Deadline July 31, 2026. This is subject to close earlier if there is a high volume of applicants or a qualified hire is made.
Aston Carter, formerly Stephen James Associates, is a privately-held company founded in 1997 to deliver world-class staffing and professional talent services to
Role Description We are seeking a skilled Data Analyst to join our team, responsible for building and maintaining reports for HR and IT stakeholders. The role involves: - Identifying opportunities to automate manual payroll data workflows. - Ensuring data accuracy across systems. - Collaborating with both technical and non-technical teams to translate business needs into data solutions. This position requires a foundational understanding of financial or payroll data, along with strong analytical and organizational skills. Qualifications - Proficiency in Excel, including VLookUps and Pivot Tables. - Experience with SQL. - Strong analytical skills. - Excellent organizational skills. - Experience in data analysis. - Report generation skills. - Ability to work independently in a fast-paced environment. Requirements - This is a remote contract role with the potential to become permanent, although it is most likely a 3-month engagement. - This is a Contract position based out of Moorpark, CA. Benefits - Medical, dental & vision. - Critical Illness, Accident, and Hospital. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Voluntary Life & AD&D for the employee and dependents). - Short and long-term disability. - Health Spending Account (HSA). - Transportation benefits. - Employee Assistance Program. - Time Off/Leave (PTO, Vacation or Sick Leave). Application Deadline This position is anticipated to close on Jul 29, 2026.
Founded in 1991 by four passionate engineers from major companies such as Alcatel, Citroën, Dassault, and Thales, ECAM Louis de Broglie's primary mission is to train generalist engineers. Choosing ECAM Louis de Broglie means choosing a multidisciplinary education that will open many doors throughout your career. By emphasizing experimentation, concrete projects, and a competency-based approach, ECAM Louis de Broglie trains innovative and operational engineers, capable of taking on responsibilities, managing teams, and innovating in a rapidly changing world.
Role Description The ideal candidate will be responsible for accurately entering data into our systems while maintaining confidentiality and following all data entry protocols. We are seeking a detail-oriented and organized Data Entry Clerk to join our remote team. Responsibilities: - Enter data into databases and maintain accurate records - Verify data and correct any discrepancies - Ensure data integrity and security - Generate reports and assist with data analysis - Follow data entry procedures and guidelines Qualifications - High school diploma or equivalent - Proven experience as a data entry clerk or similar role - Proficient in Microsoft Office and data entry software - Excellent typing skills and attention to detail - Ability to work independently and meet deadlines Company Description Founded in 1991 by four passionate engineers from major companies such as Alcatel, Citroën, Dassault, and Thales, ECAM Louis de Broglie's primary mission is to train generalist engineers. Choosing ECAM Louis de Broglie means choosing a multidisciplinary education that will open many doors throughout your career. By emphasizing experimentation, concrete projects, and a competency-based approach, ECAM Louis de Broglie trains innovative and operational engineers, capable of taking on responsibilities, managing teams, and innovating in a rapidly changing world.
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