2

Remote Insurance Data Analytics Jobs in Delaware

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Associate Analyst

Wilmington, DE · On-site +1

$65K - $70K/yr

Description Associate Analyst (Remote) About Us Truveris is a pharmacy cost containment company ... Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy ...

This position is fully remote, and shifts are available during EST through PST hours. The selected ... Analyzing data using spreadsheets to determine campaign criteria, deliverable volumes, and pricing

next page

Showing results 1-20

Remote Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What are the most commonly searched types of Insurance Data Analytics jobs in Delaware? The most popular types of Insurance Data Analytics jobs in Delaware are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Delaware? For Remote Insurance Data Analytics jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Delaware look for? The top searched job categories for Remote Insurance Data Analytics jobs in Delaware are:
What cities in Delaware are hiring for Remote Insurance Data Analytics jobs? Cities in Delaware with the most Remote Insurance Data Analytics job openings:

$69.70K - $112.80K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

The Performance Analyst, Mid monitors and analyzes the performance of enterprise IT systems and services to ensure they meet defined service levels and user experience expectations in a mission-critical federal environment. This role collects, correlates, and interprets metrics and logs from infrastructure, applications, and networks to identify performance bottlenecks and stability issues. The analyst builds dashboards, reports, and alerts that provide actionable insights to operations, engineering, and security teams, partnering with stakeholders to prioritize remediation and capacity initiatives that continuously improve system reliability and efficiency.

Key Responsibilities Design and maintain performance monitoring dashboards and alerts using log analytics and observability platforms to track infrastructure and application health across the federal client environment. Collect and correlate metrics, events, and logs from servers, networks, databases, and applications to diagnose latency, throughput, and error‐rate issues with increased complexity and scope. Perform trend analysis and capacity assessment to forecast performance risks and recommend scaling, optimization, or architectural changes that support evolving mission requirements.

Conduct structured root cause analysis on recurring performance incidents, documenting findings and driving follow‐up actions with operations and engineering teams to reduce recurrence. Develop and refine performance KPIs and service level objectives (SLOs) that align technical measurements with business and mission‐critical outcomes, ensuring stakeholder alignment. Use tools such as network performance monitors and log analytics platforms (e.g., SolarWinds, Splunk) to investigate anomalies, validate hypotheses, and support incident response efforts with greater autonomy.

Create recurring performance reports and executive summaries that translate complex technical data into clear, data‐driven recommendations for leadership, audit, and compliance reviews. Collaborate with security and compliance stakeholders to ensure performance tuning and optimization maintain required controls in a highly regulated federal environment. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Data Analytics, or a related field, or equivalent relevant experience.

4–7 years of experience in IT operations, systems engineering, or data analytics with a demonstrated focus on performance monitoring and analysis. Proven practical experience with performance analysis tools and platforms such as Splunk, SolarWinds, or similar observability solutions in enterprise environments. Solid understanding of root cause analysis, problem‐solving techniques, performance metrics, and improvement strategies, with demonstrated application in complex IT systems.

Active SECRET security clearance or ability to obtain and maintain required clearance. U.S. citizenship required.

Availability for remote work with travel of less than 10%. Preferred Qualifications Hands‐on experience with platforms such as SolarWinds, Splunk, or similar observability tools for large‐scale, mission‐critical enterprise environments. Exposure to performance analysis for large‐scale networks or distributed applications supporting federal government or public‐sector customers.

Relevant certifications in IT service management, data analytics, or monitoring platforms (e.g., CPA, ITIL Foundation, vendor‐specific certifications). Familiarity with Department of Defense (DoD) or U.S. Army IT environments, compliance frameworks, and security requirements.

Compensation Ranges Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract‐specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.

$69,700 - $112,802.75 EEO Requirements It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies. All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age.

All decisions on employment are made to abide by the principle of equal employment. Physical Requirements The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties" or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.

Disclaimer The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. #J-18808-Ljbffr