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Senior Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Overview LMI is seeking a skilled Senior Data Scientist to support Army logistics data management ... Analyze, validate, and monitor data quality to identify inconsistencies, recommend corrective ...

OR · On-site

$126K - $166K/yr

As a Senior Product Manager you'll drive the success of data and AI solutions that connect client ... Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS ...

OR · On-site

$85K - $100K/yr

The Sr. Analyst, Data Visualization role supports the delivery of one of our most impactful ... insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date.

Sr. Financial Analyst

Salem, OR · On-site

$110K - $130K/yr

Senior Financial Analyst Reports To: Chief Financial Officer (CFO) Department: Finance & Accounting ... Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a ...

Revenue Analytics Associate

OR · Remote

$118K - $130K/yr

Prepare weekly, monthly, quarterly and annual reports for Senior leaders. * Collaborate with cross-functional teams to align business objectives with data analysis. * Perform other duties and ...

$87K - $116K/yr

Bachelor's degree in communications, public health, data analytics, marketing, social sciences, or ... senior-level clients * Experience formulating requirements, analyzing project proposals, and ...

What We Look For in a Candidate - Bachelor's degree in Finance, Economics, Data Analytics, Computer ... senior technical, financial, and commercial audiences. - Ability to quickly ramp into senior ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... As a condition of employment, WellBe Senior Medical requires all candidates to successfully ...

Program Analyst - Senior

$115K - $116K/yr

This senior-level role oversees meeting coordination, data analysis, and reporting across a ... Provide advanced data analytics support, translating data into actionable insights and ...

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled ... Act as a trusted advisor to senior leadership, translating organizational needs into actionable ...

Showing results 41-60

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What are the most commonly searched types of Insurance Data Analytics jobs in Oregon? The most popular types of Insurance Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Senior Insurance Data Analytics jobs? Cities in Oregon with the most Senior Insurance Data Analytics job openings:

Senior Data Scientist - Clearance Required

LMI

Full-time

Posted 26 days ago


Job description

Overview

LMI is seeking a skilled Senior Data Scientist to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and executive decision support. Successfully demonstrate competency in project execution, client delivery, critical thinking, and relationship management while upholding the highest standard of ethical behavior.

This position is part of the team supporting the Army HQDA G-4 ELISS program, delivering innovative solutions that enable critical Army logistics and sustainment missions.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Support Army logistics enterprise data management through data governance, data quality, metadata management, data modeling, and strategic initiatives.
  • Conduct research and analysis to evaluate enterprise data, business processes, data quality, and emerging issues affecting Army logistics operations.
  • Develop and maintain enterprise data models, business rules, metadata, and documentation supporting Army logistics information requirements.
  • Support data governance activities by implementing standards, policies, procedures, and best practices that improve enterprise data management.
  • Analyze, validate, and monitor data quality to identify inconsistencies, recommend corrective actions, and improve data integrity across enterprise systems.
  • Collect, consolidate, validate, and analyze information from multiple enterprise data sources to support executive decision making and organizational priorities.
  • Develop executive-ready briefings, reports, decision papers, presentations, dashboards, and analytical products supporting Army logistics leadership.
  • Coordinate activities and recommendations across multiple Army organizations and stakeholders to improve enterprise data management and governance.
  • Facilitate meetings, working groups, and collaborative planning sessions while documenting decisions and tracking follow-up actions.
  • Support enterprise data stewardship, information management, reporting, and modernization initiatives that improve organizational performance.
  • Develop performance metrics, dashboards, and analytical products to support leadership visibility and informed decision making.
  • Support business development activities, including market research, proposal support, solution development, and client engagement, as required.
  • Perform additional consulting, analytical, and project support activities as assigned.
Qualifications

MINIMUM QUALIFICATIONS

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Information Management, Business, Logistics, Engineering, Operations Research, or a related discipline.
  • Three to ten or more years of professional experience supporting Army logistics, enterprise data management, data governance, data quality, data modeling, DoD, or other complex Government organizations.
  • Experience supporting enterprise data governance, metadata management, data modeling, master data management, or data quality initiatives.
  • Strong analytical skills, including proficiency with Microsoft Office Suite and experience using databases, reporting tools, data visualization platforms, and collaboration applications.
  • Demonstrated ability to gather, analyze, validate, and synthesize information from multiple enterprise data sources into concise, actionable recommendations.
  • Excellent written and verbal communication skills, including experience developing executive-level briefings, reports, and presentations.
  • Demonstrated ability to coordinate with multiple stakeholders and work effectively within cross-functional teams.
  • Self-directed, detail oriented, and capable of managing multiple priorities in dynamic environments.
  • Available for occasional travel.
  • This position requires an active Secret security clearance. Applicants must be U.S. citizens.

DESIRED SKILLS

  • Advanced degree in Information Systems, Computer Science, Data Analytics, Information Management, Business, Logistics, Engineering, Operations Research, or a related discipline.
  • More than eight years of experience supporting Army logistics enterprise data management, data governance, or other DoD organizations.
  • Experience supporting headquarters-level data governance, enterprise data stewardship, metadata management, data quality improvement, or information management initiatives.
  • Experience developing dashboards, performance metrics, executive reporting, business intelligence products, or data visualization solutions.
  • Familiarity with data governance frameworks, data architecture, business intelligence, workflow modernization, automation, or digital transformation initiatives.
  • Experience facilitating cross-functional working groups and stakeholder engagements.
  • Excellent research, writing, briefing, and staff coordination skills.

#LI-SH1

Target salary range: $111,426 - $192,890. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job LocationsUS-Remote US-VA-ArlingtonEmployment Type: OTHER