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Remote Insurance Data Analytics Jobs in Itasca, IL

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$65K - $85K/yr

Training on proprietary tools, audit methodologies, and AI-driven analytics * Experience working ... Health insurance * Simple IRA with employer matching and immediate vesting * Paid time off ...

RR Donnelley

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

Develop and implement a set of techniques or analytics applications to transform raw data into ... off, disability insurance, 401(k) with company match, life insurance and other voluntary ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Itasca, IL

Remote Insurance Data Analytics information

See Itasca, IL salary details

$23

$53

$91

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

As of Jul 20, 2026, the average hourly pay for remote insurance data analytics in Itasca, IL is $53.30, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $60.38 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, 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 Itasca, IL? The most popular types of Insurance Data Analytics jobs in Itasca, IL are:
What cities near Itasca, IL are hiring for Remote Insurance Data Analytics jobs? Cities near Itasca, IL with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Middle Office Back Office Analyst, SQL and Data Modeling Required - Work From Home

Middle Office Back Office Analyst, SQL and Data Modeling Required - Work From Home

Next Step Systems

Chicago, IL • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Job description

Middle Office Back Office Analyst, SQL and Data Modeling Required - Work From Home
We are seeking a talented and self-motivated Middle Office Back Office (MOBO) Analyst to join a growing team. This Middle Office Back Office Analyst role requires meticulous attention to detail and strong organizational skills. The hours for this position are 7am to 4pm CT. This position is 100% Remote.
Middle Office Back Office Analyst Responsibilities:
- Trade Processing and Settlement: Assist with the accurate and timely processing of all trades executed by the trading desk, ensuring compliance with regulatory requirements and internal policies. Coordinate with counterparties and clearing firms for trade settlement.
- Risk Management: Maintain effective risk management controls within the middle and back-office operations. Monitor trading activities for adherence to risk limits and escalate any breaches or concerns to senior leadership.
- Reconciliation: Reconciliation of trade and position data between internal systems and external counterparties. Conduct daily, monthly, and ad-hoc reconciliations to identify and resolve discrepancies promptly.
- Regulatory Compliance: Stay abreast of regulatory changes and requirements relevant to proprietary trading operations. Ensure compliance with all applicable regulations, including reporting obligations and record-keeping requirements.
- Process Improvement: Identify opportunities to streamline and optimize middle and back-office processes to enhance efficiency and reduce operational risk. Implement best practices and automation tools where appropriate.
- Technology Integration: Work closely with the IT department to leverage technology solutions for improving middle and back office operations. Collaborate on system enhancements, upgrades, and integrations to support business needs.
- Performance Reporting: Generate and distribute performance reports and analytics related to trading activities, P&L, and risk metrics.
- Vendor Management: Work with third-party service providers and vendors, including prime brokers, custodians, and technology vendors.
Middle Office Back Office Analyst Qualifications:
- Bachelor's Degree from a 4-year university in finance, accounting or related field.
- Advanced degree or professional certification (e.g., CFA, FRM) is a plus.
- 3+ years of experience in middle office, back office, or operations roles within a proprietary trading firm or financial institution.
- Understanding of financial markets, trading products, and risk management concepts.
- Proficiency in trade processing and settlement systems (e.g., Bloomberg, Reuters, Fidessa) and reconciliation tools.
- Familiarity with technology solutions for middle and back office operations, including trade capture, risk management, and reporting tools.
- Proficiency in relational databases, Microsoft SQL preferred.
- Experience with SQL, stored procedures, data models, database security, etc.
- Python knowledge desired and a definite plus.
- Familiarity with object-oriented programming and design.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Effective communication and interpersonal skills, with the ability to collaborate across departments and influence stakeholders.
- Knowledge of regulatory requirements and compliance standards applicable to proprietary trading activities.
- Manage high-pressure situations professionally, calmly, and with urgency.
- Capable of handling multiple projects simultaneously with the ability to prioritize.
Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Middle Office Back Office Analyst, Bloomberg, Reuters, Fidessa, Risk Management, Trading Processing, Reconciliation Tools, Trade Capture, Reporting Tools, MS SQL, Stored Procedures, Data Models, Database Security, Python, OOP, Object Oriented Programming, OOD, Object Oriented Design, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting
Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Middle Office Back Office Analysts for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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