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Remote Insurance Data Analytics Jobs in Orem, UT

... analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern ... Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ...

... analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern ... Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ...

Systems Engineer --Remote

Midvale, UT ยท On-site +1

$146K - $170K/yr

... data stores, utilities, capacity, monitoring, automation, deployments, replication, etc ... Requires strong analytical, organizational and problem solving skills. * Strong communication ...

Systems Engineer --Remote

Midvale, UT ยท On-site +1

$146K - $170K/yr

... data stores, utilities, capacity, monitoring, automation, deployments, replication, etc ... Requires strong analytical, organizational and problem solving skills. * Strong communication ...

Showing results 21-40

Remote Insurance Data Analytics information

See Orem, UT salary details

$21

$47

$82

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

As of Aug 9, 2026, the average hourly pay for remote insurance data analytics in Orem, UT is $47.60, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $53.89 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 Orem, UT? The most popular types of Insurance Data Analytics jobs in Orem, UT are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Orem, UT? For Remote Insurance Data Analytics jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Orem, UT look for? The top searched job categories for Remote Insurance Data Analytics jobs in Orem, UT are:
What cities near Orem, UT are hiring for Remote Insurance Data Analytics jobs? Cities near Orem, UT with the most Remote Insurance Data Analytics job openings:

Business Analyst, Product

Nearmap

Lehi, UT โ€ข On-site, Remote

Full-time

Posted 27 days ago


Job description

Company Description
About Nearmap
Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.
We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you.
Role Location: Fully remote within Pacific Standard time zone
Job Description
About the Role
Product at Nearmap doesn't just build the product-it shapes how the product reaches the market and delivers value once it's there. In this role, you'll provide the analytical foundation that helps our Go-To-Market team make smarter commercial decisions. You'll work closely with Sales, Revenue Operations, and Product leadership to translate product and market data into clear commercial insight, helping us understand where Nearmap products win, where they don't, what customers actually value, and how that should inform the way we package and position what we build.
What You'll Do
Commercial Analysis & Strategy
  • Partner with the GTM team to evaluate the accuracy and effectiveness of current product bundles and go-to-market structures
  • Support the rollout of Nearmap's updated commercial models and product-based TAM/SAM/SOM analysis as a primary near-term analytical workstream
  • Identify gaps between list rates and realized value across segments, verticals, and geographies
  • Drive a regular cadence of commercial reviews with clear recommendations for adjustments
  • Refine analytical frameworks covering willingness to pay, value anchoring, and competitive benchmarking
  • Support the development and testing of new bundle and packaging concepts
  • Build living documentation of analytical logic to ensure methodology becomes institutional knowledge, not tribal

Revenue Reporting, Performance Tracking & ROI
  • Maintain granular revenue and profitability reporting by product, vertical, and customer segment, with real-time dashboards that give leadership visibility into commercial performance, discount trends, deal economics, and margin health
  • Quantify and communicate the ROI customers receive from Nearmap products, supporting Sales Performance Managers with ROI models and value calculators for customer conversations
  • Collaborate with Customer Success and Product to surface usage and value signals from the customer base, maintaining product-based churn and upsell analytics
  • Support deal desk and complex approval workflows with data-driven analysis

AI-Powered Analytics & Tooling
  • Build durable, repeatable analytics assets using AI-assisted development practices-documented, version-controlled, and designed to run without you in the room
  • Identify and implement opportunities to automate reporting, anomaly detection, and commercial signal generation across the product portfolio
  • Work closely with Revenue Operations to implement commercial changes in CPQ and downstream systems, ensuring analytics infrastructure stays aligned with CRM and billing data

Qualifications
What We're Looking For
Required
  • 2-4 years of experience in product analytics, business intelligence, or commercial strategy
  • Strong SQL proficiency and fluency in at least one BI platform (Looker, Tableau, Power BI, or similar)
  • Demonstrated, day-to-day use of AI tools (LLM-assisted analysis, code generation, automated reporting) with Salesforce, Gong, Looker, Snowflake, and familiarity with Claude/Claude Code
  • Ability to build analytics assets designed to last: documented, maintainable, and understood by others
  • Clear communicator who can translate data into recommendations for non-technical stakeholders
  • Comfort working in ambiguity and driving your own work to completion

Preferred
  • Experience with SaaS commercial models (seat-based, consumption, usage-tiered, or hybrid structures)
  • Background in value strategy or revenue analytics in a B2B context
  • Experience with Python or dbt for data transformation and pipeline work
  • Insurance, geospatial, or PropTech vertical experience

Additional Information
Why you'll love working at Nearmap:
We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.
Nearmap offers:
  • In addition to flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions asked!
  • Company-sponsored volunteering days to give back.
  • Generous parental leave policies for growing families.
  • Work from Overseas Policy - explore the world in the approved list of cities while you work!
  • Discounted Private Health Insurance plans.
  • Monthly wellbeing and technology allowance.
  • A Nearmap subscription (naturally!).

Learn More About The Work We Do:
YouTube Page
LinkedIn Page
Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.