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Remote Insurance Data Analytics Jobs in New Mexico

EnthuZiastic

Growth Hacker - Remote

Alamogordo, NM · Remote

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 ...

EnthuZiastic

Growth Hacker - Remote

Albuquerque, NM · Remote

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 ...

EnthuZiastic

Growth Hacker - Remote

Santa Fe, NM · Remote

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 ...

EnthuZiastic

Growth Hacker - Remote

Las Cruces, NM · Remote

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 ...

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All JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in New Mexico

Remote Insurance Data Analytics information

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 New Mexico? The most popular types of Insurance Data Analytics jobs in New Mexico are:
What are popular job titles related to Remote Insurance Data Analytics jobs in New Mexico? For Remote Insurance Data Analytics jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in New Mexico look for? The top searched job categories for Remote Insurance Data Analytics jobs in New Mexico are:
Remote Insurance Data Analytics jobs near you
Rural Health Program Data Analyst (REMOTE)

Rural Health Program Data Analyst (REMOTE)

ICF International, Inc.

Albuquerque, NM • On-site, Remote

Full-time

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

Job description

DATA ANALYST - RURAL HEALTH PROGRAM
You are required to live in New Mexico to be considered for this role.
Supports data management, reporting, and performance monitoring activities for statewide rural health transformation initiatives. Assists in development and maintenance of dashboards, reports, and structured data products used to track program implementation and provider performance.
Performs data extraction, cleaning, validation, and analysis to support recurring reporting requirements and ad hoc requests. Maintains structured datasets and tracking systems aligned with program reporting and compliance needs.
Develops standard reports and visualizations to support performance monitoring across provider initiatives. Assists in identifying trends, inconsistencies, and data quality issues.
Coordinates with data, technical assistance, and program teams to support data-driven decision-making. Contributes to preparation of reports, presentations, and documentation for state and federal stakeholders.
Maintains organized, audit-ready documentation of data sources, methodologies, and reporting outputs. Supports continuous improvement of data processes and workflows.
Up to 25% travel may be required.
Basic Qualifications:
  • Bachelor's degree in data analytics, public health, health informatics, statistics, economics, or related field required.
  • Minimum 2 years of experience in data analysis, reporting, or data management.
  • Experience working with Excel, SQL, R, SAS, or other data tools to manage and analyze datasets.
  • Experience developing reports or dashboards using Power BI, Tableau, or similar visualization tools preferred.
  • Strong attention to detail and ability to validate and reconcile data across sources.
  • Ability to communicate analytical findings clearly to technical and non-technical stakeholders.
  • Experience supporting healthcare, Medicaid, or public health programs preferred.
  • Ability to manage multiple reporting deadlines and priorities in a structured environment.

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Working at ICF
ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$74,090.00 - $125,954.00
Nationwide Remote Office (US99)

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