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Remote Insurance Data Analytics Jobs in Baltimore, MD

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... analytics solutions. * Write performant SQL to explore, model, and surface data from our Databricks ...

This is a remote position, open to candidates residing in a U.S. state where Pompeian is currently ... Data Analytics or related field * 1-3 years of category management experience at a CPG company ...

Data Engineer II

Columbia, MD ยท On-site +1

$93K - $100K/yr

... analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Data Architect

Columbia, MD ยท On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Analyze information to determine, recommend, and plan the development of a new application or ...

... analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Data Architect (2 openings) - IRS Clearance 6-month contract-to-hire Remote, Greenbelt, MD Bachelor ... Analyze and design the data conversion and validation plan and lead the testing of the conversion ...

Showing results 41-60

Remote Insurance Data Analytics information

See Baltimore, MD salary details

$24

$54

$93

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

As of Aug 10, 2026, the average hourly pay for remote insurance data analytics in Baltimore, MD is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $61.63 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?

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 Baltimore, MD? The most popular types of Insurance Data Analytics jobs in Baltimore, MD are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Baltimore, MD? For Remote Insurance Data Analytics jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Baltimore, MD look for? The top searched job categories for Remote Insurance Data Analytics jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Insurance Data Analytics jobs? Cities near Baltimore, MD with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $113,149 per year, or $54.4 per hour.

Data Technician (Remote)

Tactibit Technologies LLC

Silver Spring, MD โ€ข Remote

Full-time

Re-posted 9 days ago


Job description

Tactibit Technologies provides innovative information technology, cybersecurity, and cloud support services to the Federal Government. We support some of the nation's most critical and demanding projects including satellite operations, critical infrastructure, and search and rescue. We are a diverse team of hands-on professionals dedicated to solving problems and developing innovative solutions in support of our customers' critical missions. Our success is dependent on our inclusive, collaborative environment with a shared commitment to excellence in everything we do.


About the Data Technician position

We are looking for a talented Data Technician to join our team remotely. You will support mission-critical systems that receive, process, disseminate, and store petabytes of environmental and scientific data collected from Earth orbiting satellites daily. You will collect, review, and input data into a computer processing system and review/audit output data. You should have a deep understanding of enterprise and/or scientific data sets and experience managing large-scale data.

Data Technician responsibilities are:
  • Research, design, deploy, and document new data management tools and techniques
  • Manage large-scale data sets from modern ground systems and applications
  • Support data management processing including data migration, backup, and recovery
  • Provide reporting metrics to management and customers
  • Assist with troubleshooting issues
  • Work with cross-functional teams to ensure sound data management practices throughout the software development lifecycle
Data Technician requirements are:
  • 8+ years of enterprise data management experience
  • Experience with GIS data
  • Strong understanding of data management processes and technologies
  • Experience using scripting languages such as Perl, Python, Java, PowerShell, Ruby, etc.
  • Strong analytical skills and ability to work under pressure
  • Must be able to pass a full background investigation and obtain a security badge to enter the applicable government facility
Desired Qualifications are:
  • Experience working with AWS services or AWS cloud certification(s) are a plus
  • Experience in high-performance computing, machine learning, artificial intelligence applications and frameworks in a cloud environment
  • Familiarity with environmental or scientific data processing
  • Familiarity with modern agile software development principles, practices, methods, and tools
  • Experience with version control systems (preferably Git) and issue tracking software (preferably Jira)
  • BS/BA degree in Computer Science, Engineering, or a related field preferred, but not required
  • Industry certifications such as AWS certifications