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Remote Insurance Data Analytics Jobs in Schaumburg, IL

PeopleCaddie

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data Analyst / Data Modeler serves as a hands-on technical resource responsible for designing, implementing, and supporting enterprise ...

HR Pundits

Data Analyst V

Elk Grove Village, IL · Remote

USA Remote Responsibilities Work with large and complex datasets to solve challenging problems ... digital analytics, behavioral, and operational data) across end-to-end customer journeys to ...

H R PUNDITS INC

Data Analyst V

Elk Grove Village, IL · Remote

$130K/yr

USA Remote Responsibilities * Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches. * Synthesize and analyze customer feedback from ...

SynergisticIT

Data Analyst

Elk Grove Village, IL · On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Science / ML / Analytics Roles * Bachelor's or Master's in CS, IT, Stats, or Engineering

G2.com, Inc

Lead Data Analyst

Chicago, IL · On-site +1

We are setting out to transform the global B2B software industry and become the most trusted data ... A/B testing and product analytics. * Remote work permitted five (5) days a week. #LI-DNI #IND-DNS ...

Voluble Systems LLC

Data Analyst

Chicago, IL · Remote

Location: 100% Remote - collaborating with teams based in both the United States and Ireland. Due ... end users. • Analyze complex data sources and develop source-to-target mapping documents ...

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Remote Insurance Data Analytics information

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$24

$53

$92

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

As of May 28, 2026, the average hourly pay for remote insurance data analytics in Schaumburg, IL is $53.76, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $60.91 per hour, depending on experience, location, and employer.

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.

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 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.

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 are the most commonly searched types of Insurance Data Analytics jobs in Schaumburg, IL? The most popular types of Insurance Data Analytics jobs in Schaumburg, IL are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Schaumburg, IL? For Remote Insurance Data Analytics jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Schaumburg, IL look for? The top searched job categories for Remote Insurance Data Analytics jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Remote Insurance Data Analytics jobs? Cities near Schaumburg, IL with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Data Analyst

Data Analyst

PeopleCaddie

Chicago, IL • Remote

$80 - $85/hr

Other

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

Job description

Job Description:
Title: Senior Data Analyst / Data Modeler - Contract
Client: Large Public Accounting Firm
Engagement: 6+ Month Contract
Work Model: Fully Remote
Rate: $80-$85/hour (C2C)
Role Overview
The Senior Data Analyst / Data Modeler serves as a hands-on technical resource responsible for designing, implementing, and supporting enterprise data models and data warehouse solutions. This role focuses on translating business and analytical requirements into scalable logical and physical data models that support reporting, analytics, and performance measurement across the organization.
Key Responsibilities
  1. Design, plan, and document logical and physical enterprise relational data models.
  2. Translate logical designs into physical database structures and define end-to-end data flows.
  3. Implement and maintain physical data models on cloud platforms such as Snowflake.
  4. Partner with business users to gather data requirements and define KPIs and performance metrics.
  5. Develop source-to-target mapping documents, including business transformation rules.
  6. Perform data profiling and data quality analysis to ensure integrity, accuracy, and consistency.
  7. Support QA and User Acceptance Testing (UAT) and provide ongoing production support for the enterprise data warehouse.
  8. Identify data issues, perform root-cause analysis, and implement corrective actions.
  9. Support data governance initiatives through monitoring, validation, and data quality controls.
  10. Collaborate effectively across development, architecture, data integration, and BI teams.
Required Experience & Qualifications
  1. Bachelor's degree in Computer Science, Information Systems, or equivalent professional experience.
  2. 7-10+ years of overall IT experience in data engineering, data analysis, or software development roles.
  3. 5-7 years of hands-on data analysis and modeling experience, including complex relational data models.
  4. 3-5 years of strong Snowflake experience with advanced SQL development.
  5. Proficiency with SQL and Python for data manipulation and analysis.
  6. Experience with BI and analytics tools such as Power BI, SAP BO, or Excel.
  7. Strong understanding of data warehousing concepts, data marts, and analytical database environments.
  8. Ability to create data flow diagrams and process documentation.
  9. Excellent analytical, problem-solving, and communication skills.
  10. Ability to work independently while collaborating across cross-functional teams in a dynamic environment.
Preferred Skills
  1. Experience in professional services, consulting, or client-facing technology roles.
  2. Familiarity with BI methodologies, OLAP tools, and enterprise analytics environments.
  3. Strong business acumen with the ability to communicate data architecture concepts to non-technical stakeholders.
  4. Comfort working in ambiguous or rapidly changing environments.

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