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Insurance Data Analytics Jobs in Maryland (NOW HIRING)

Data Analyst

Lexington Park, MD Β· On-site

$85K - $120K/yr

... analytics * Analyze and create data sets Required Qualifications: * 6-10 years of operational ... Generous medical, dental, and vision insurance for employees and their families * Health and ...

Data Scientist

Fort George G Meade, MD Β· On-site

$141K - $236K/yr

Executing and contributing technical expertise across multiple data science and analytic ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

EV Data Analysis Lead

Columbia, MD Β· On-site

$107K - $161K/yr

Medical, Dental, and Vision Insurance; we also offer a company-paid health care concierge service ... Develop data analytics strategies to support proposal (RFP) responses * Assess research and data ...

EV Data Analysis Lead

Columbia, MD Β· On-site

$107K - $161K/yr

Medical, Dental, and Vision Insurance; we also offer a company-paid health care concierge service ... Develop data analytics strategies to support proposal (RFP) responses * Assess research and data ...

On-premises and/or Cloud data science and data analytics environments * Python and R in a data ... Our package also includes: β€’ Medical, Dental & Vision Insurance β€’ Flexible Spending Accounts ...

Showing results 41-60

Insurance Data Analytics information

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are the most commonly searched types of Insurance Data Analytics jobs in Maryland?

The most popular types of Insurance Data Analytics jobs in Maryland are:

What are popular job titles related to Insurance Data Analytics jobs in Maryland?

For Insurance Data Analytics jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Maryland look for?

The top searched job categories for Insurance Data Analytics jobs in Maryland are:

Infographic showing various Insurance Data Analytics job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Data Analyst

Lexington Park, MD β€’ On-site

Andromeda Systems, Inc
201 - 500 employees

$85K - $120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

AndromedaSystemsIncorporated (ASI) provides tools and services to assist Physical Asset Owners, Fleet Managers, and Military Program Managers in gaining critical insights into their equipment’s performance, identifying system improvements, optimizing operations and support, making better business decisions, and achieving measurable life-cycle cost savings.

ASI provides unparalleled expertise and capabilities in the Acquisition Program Management, Engineering, and Logistics disciplines. Our staff of internationally recognized leaders are shaping the industry and developing revolutionary solutions in the military and commercial sectors. Clients leverage our experience and cutting-edge analytical tools to improve asset performance and reduce life-cycle costs. As a leading provider of professional and high technology services and solutions, ASI serves the Department of Defense, U.S. civilian agencies, and private industry.

ASI is seeking a Data Analyst to work onsite in Pax River, MD. This position is not eligible for remote work.

Responsibilities :
  • Develop dashboards in Qlik Sense or other data visualization tools
  • Integrate and prepare large, varied datasets for analysis. Identify and assess data attributes using statistical software packages to develop recommendations and analytical processes based on mission requirements
  • Implement improved systems, procedures, and organizational changes. Employ analysis techniques, such as work breakdown structures, activity-based costing, process and productivity improvement measurements, program audits/evaluations, and performance testing to achieve stated objectives
  • Research, develop, implement, and utilize statistical methods and strategies to address tactical and strategic problem sets, while working with a technical team
  • Provide highly technical expertise in developing reports
  • Conduct statistical and predictive analysis
  • Collaborate with multiple teams and clients to understand and recommend activities related to analytics
  • Analyze and create data sets
Required Qualifications:
  • 6-10 years of operational experience in the full spectrum of industrial and logistics maintenance planning and sustainment
  • At least 4 years of integrated logistics support across the spectrum of ILS elements
  • Bachelor's degree in relevant field
    • Additional four years of acquisition or operational logistics management experience may be substituted for degree
  • Experience as a Qlik Sense/Tableau/Power BI developer
  • Experience with SDR, Advana, and Jupiter databases
  • Strong working knowledge of Microsoft 365 products to include Teams, Outlook, PowerPoint, Word, and Excel
  • Strong interpersonal skills and ability to work well with a diverse team of government and contractor personnel
  • Demonstrated verbal and written communication skills
Preferred Qualifications:
  • Experience with SQL/Python (Pandas)
  • Experience with Naval Aviation databases, including OOMA and DECKPLATE, Continuous Monitoring Program (CMP), or Aviation Management Supply and Readiness Reporting (AMSRR)

At ASI, we understand that everyone’s journey is different. We are interested in what you have to offer.

Work Authorization/Security Clearance:
  • Must be a U.S. Citizen
  • Able to obtain a Secret Clearance
Benefits and Compensation:
  • 401(k) plan with immediate 100% vesting and 4% discretionary match
  • Paid leave including PTO, holiday, bereavement, and military
  • Generous medical, dental, and vision insurance for employees and their families
  • Health and dependent care FSA
  • Company-provided life/AD&D, as well as supplemental life and disability insurance
  • TRICARE Supplement
  • Employee Assistance Program
  • Tuition assistance and professional development
Pay:
  • $85,000 - $120,000 per year

For more information about this and other open positions, please visit our website at www.androsysinc.com .

AAP/EEO Statement

Andromeda Systems Incorporated is an Equal Employment Opportunity employer. As such, 41 CFR 60-1.4(a), 41 CFR 60-300.5, 41 CFR 60-741.5 as well as 29 CFR Part 471, Appendix A to Subpart A are herein incorporated by reference, to the extent applicable.

This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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