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Remote Insurance Data Analytics Jobs in Perryville, MD

Deal Desk Analyst

Middle River, MD · On-site +1

$77K - $106K/yr

... data centers. We develop skill sets, encourage curiosity, and enable empowerment - we turn jobs ... Life Insurance * Short-term and Long-term Disability * Matching 401(k) Contributions * Vacation and ...

Abstracts pertinent data, determines, and sequences codes for diagnoses and procedures, and enters ... Works with the HIMS Coding Systems Analyst under the direction of HIMS management to achieve the IT ...

Seeking Veterans to Serve Veterans

Bear, DE · Remote

$19.50 - $24/hr

Flexible Schedule with Weekly Pay 100% Remote Position Weekly Trainings lead by Top Leaders ... If you would like more information about how your data is processed, please contact us. apply for ...

Remote in the US This role is contributing to the ELSE Data Center Services Center of Excellence in ... Vision benefit * Company paid life insurance (2X base pay) * Company paid AD&D (1X base pay)

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Remote Insurance Data Analytics information

See Perryville, MD salary details

$23

$53

$91

How much do remote insurance data analytics jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote insurance data analytics in Perryville, MD is $53.28, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $60.38 per hour, depending on experience, location, and employer.

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 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.

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 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.
What are the most commonly searched types of Insurance Data Analytics jobs in Perryville, MD? The most popular types of Insurance Data Analytics jobs in Perryville, MD are:
What job categories do people searching Remote Insurance Data Analytics jobs in Perryville, MD look for? The top searched job categories for Remote Insurance Data Analytics jobs in Perryville, MD are:
What cities near Perryville, MD are hiring for Remote Insurance Data Analytics jobs? Cities near Perryville, MD with the most Remote Insurance Data Analytics job openings:
Senior Engineer (Contingent Upon Award) (Remote)

Senior Engineer (Contingent Upon Award) (Remote)

Dalcom, LLC

Aberdeen Proving Ground, MD • Remote

$150K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Position: Senior Engineer

Company: Dalcom Engineering

Location: Remote (CONUS Travel Required)

Salary: $150,000 $225,000

Position Overview

Dalcom Engineering is seeking a Senior Engineer to provide technical leadership supporting engineering analysis, facility assessments, system design reviews, testing, and evaluation activities for mission-critical programs. In this role, you will lead technical efforts evaluating complex engineering systems, guide modernization assessments, and oversee engineering analyses supporting the U.S. defense industrial base and related infrastructure. The Senior Engineer will serve as a key technical authority responsible for developing engineering approaches, mentoring technical staff, and delivering engineering recommendations to support program decision-making.

This position is primarily remote but requires frequent travel to government installations and industrial production facilities throughout the Continental United States (CONUS), including ammunition manufacturing plants and modernization program locations. Travel is expected to range between 40% and 60% depending on project requirements. Limited international travel may occur depending on project requirements.

*This position is contingent upon award*

About Us

Founded in 1998, Dalcom Engineering is a HUBZone-certified small business committed to providing engineering solutions to the Government and private sectors. Through specializations in computer programming/software development, engineering modeling, and combat systems analysis, Dalcom Engineering takes pride in building and empowering teams that continue to grow with us.

Key Responsibilities

Serve as a primary contributor in the application of engineering and scientific principles to meet technical project requirements.

Lead the application of engineering and scientific principles to develop solutions addressing complex technical and operational challenges.

Develop engineering concepts, technical approaches, and implementation strategies supporting facility modernization and infrastructure improvement initiatives.

Lead engineering diagnostics and technical assessments of industrial production systems and related infrastructure.

Design and oversee testing strategies including development of test plans, data collection methodologies, and performance evaluation approaches.

Evaluate engineering data, system performance metrics, and operational conditions to identify technical risks and recommend solutions.

Monitor project technical progress and ensure engineering activities remain aligned with project objectives and applicable standards.

Provide technical leadership, mentoring, and guidance to engineering staff and multidisciplinary project teams.

Support engineering design reviews, modernization project evaluations, and technical working groups.

Author, review, and approve technical documentation including engineering studies, modernization assessments, system evaluations, and technical reports.

Qualifications / Desired Skills

Bachelor's degree in Engineering (Chemical/Process, Mechanical, Electrical, Civil, Environmental, or related discipline) or Computer Science with 15+ years of relevant engineering experience, or

Master's degree in a relevant scientific discipline with 5+ years of experience may be considered equivalent.

5+ years experience in managing a professional staff

Ability to obtain and maintain a SECRET Security Clearance

Experience leading engineering teams supporting complex technical programs or multi-disciplinary engineering efforts.

Experience applying probability, reliability, statistical analysis, sampling methods, and test and evaluation techniques.

Experience with engineering data collection, analysis, and performance assessment.

Familiarity with applicable engineering regulations, industry standards, and technical best practices.

Strong analytical, problem-solving, and technical documentation skills.

Experience supporting industrial production systems, defense manufacturing environments, or infrastructure modernization initiatives is highly desirable.

Relevant Engineering Disciplines

Candidates may possess expertise in one or more engineering disciplines relevant to industrial production systems, defense manufacturing infrastructure, and facility modernization initiatives:

Chemical / Process Engineering

Knowledge of chemical processes, kinetics, thermodynamics, and chemical unit operations.

Mechanical Engineering

Experience modeling mechanical systems and applying thermodynamics and mechanical design principles.

Electrical / Systems / Computer Engineering

Knowledge of electrical codes, control systems, and process control algorithms.

Civil Engineering

Familiarity with building codes, structural codes, and geotechnical sampling techniques.

Facilities Engineering

Experience supporting the design, construction, or modernization of industrial or chemical process facilities for government or commercial environments.

Piping Engineering

Experience in piping system design, specification, fabrication, installation, and start-up of stationary equipment and piping systems.
Quality Control Engineering

Familiarity with quality management methodologies such as Six Sigma, TQM, ISO 9000, or related quality frameworks.

What We Offer

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

    If you're driven by intellectually stimulating work, enjoy collaborating with talented peers, and thrive in a high-performing environment, then Dalcom may be for you.


    Dalcom logo

    About Dalcom

    Sourced by ZipRecruiter

    Industry

    Software development

    Company size

    11 - 50 Employees

    Headquarters location

    Greensboro, NC, US

    Year founded

    1997