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Insurance Data Analytics Jobs in Maryland (NOW HIRING)

Data Analyst

Baltimore, MD ยท On-site

$76K - $120K/yr

We are currently in the implementation phase of building a services with the reach and complexity of a program like unemployment insurance. FAMLI's Data and Performance Analytics team is the Division ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

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... insurance, 401(k) participation, paid time off, and holiday pay. Full-time position. Apply now ... Minimum associate degree or bachelor's degree in business, Information Systems, Data Analytics, or ...

Data Scientist

Fort George G Meade, MD ยท Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance ...

Showing results 21-40

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:

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 (Administrator III)

Baltimore, MD โ€ข On-site

$80 - $100/hr

Other

Posted 7 days ago


Job description

The Data Analyst (Administrator III) supports Maryland's new Family and Medical Leave Insurance program by collecting, validating, and analyzing operational data from multiple sources. This role involves creating dashboards, reports, and visualizations to provide data-driven insights to program leadership and staff. The position reports to the Data Analytics Manager and requires strong skills in data quality, SQL, Excel, and business intelligence tools like Tableau or Power BI.

Key qualifications:
  • Six years of administrative or professional work experience (or equivalent education substitutions)
  • SQL proficiency including queries, joins, and data validation techniques
  • Advanced MS Excel/Google Sheets skills including pivot tables and nested formulas
  • Hands-on experience with Power BI, Tableau, or similar business intelligence tools
  • Bachelor's degree in Business Administration, Computer Science, Data Science, Economics, Mathematics, or Statistics (preferred)
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