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At Home Insurance Data Analytics Jobs in Romeoville, IL

E-Solutions

Reporting Data Analyst

Chicago, IL · On-site

Topeka, KS Hybrid schedule of at least three in-office days per week, Candidates that are not local ... ROLE RESPONSIBILITIES • Act as a data and domain SME for P&C insurance subject areas (e.g ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

At least 3 years of experience in a data analyst, data science, or comparable analytical role while in an insurance brokerage environment. • Strong organizational skills with the ability to manage ...

BMO Capital Markets

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

This role is ideal for someone who thrives at the intersection of data and strategy-someone who is ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

This role is ideal for someone who thrives at the intersection of data and strategy-someone who is ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

G2.com, Inc

Data Analytics Specialist

Chicago, IL · On-site

$130K - $150K/yr

About G2 - Our People At G2, everything we are and what we do is grounded in our PEAK values ... About The Role The Product Data Science team is G2's centralized analytics and data science ...

New

Sralab

Manager, Data Analytics

Chicago, IL

... is contact at or in the interest of the institute. The Manager, Data Analytics will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability ...

Guidehouse

Data & Analytics Consultant

Chicago, IL · On-site

$89K - $148K/yr

Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays ... Note that Guidehouse will never charge a fee or require a money transfer at any stage of the ...

CMI Media Group

Manager, Data Analytics

Chicago, IL · On-site

$70K - $140K/yr

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data ... At CMI Media Group, we believe in All for Good . Our commitment to diversity, equity, and inclusion ...

Harvey

People Data Analytics Lead

Chicago, IL · On-site

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining ... Role Overview You'll be Harvey's founding People Data Analytics Lead - the technical leader for our ...

Harvey

People Data Analytics Lead

Chicago, IL · On-site

$180K - $250K/yr

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining ... Role Overview You'll be Harvey's founding People Data Analytics Lead - the technical leader for our ...

Hylant

Lead Data & Analytics Architect

Chicago, IL

Insurance industry experience, including familiarity with data domains such as policy, claims ... Must be willing and able to travel for in-person meetings at least on a quarterly basis * Ability ...

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All JobsAt Home Insurance Data Analytics JobsAt Home Insurance Data Analytics Jobs in Romeoville, IL

At Home Insurance Data Analytics information

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$55

$96

How much do at home insurance data analytics jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for at home insurance data analytics in Romeoville, IL is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 per hour, depending on experience, location, and employer.

What is an At Home Insurance Data Analytics job?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What types of data sources and tools will I typically work with as an At Home Insurance Data Analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What are the key skills and qualifications needed to thrive as an At Home Insurance Data Analytics professional, and why are they important?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

What are the most commonly searched types of Insurance Data Analytics jobs in Romeoville, IL? The most popular types of Insurance Data Analytics jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for At Home Insurance Data Analytics jobs? Cities near Romeoville, IL with the most At Home Insurance Data Analytics job openings:
At Home Insurance Data Analytics jobs near you
Reporting Data Analyst

Reporting Data Analyst

E-Solutions

Chicago, IL • On-site

Other

Posted 16 days ago

Job description

Reporting Data Analyst
Onsite Location
Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt Juliet, TN; New York, NY; Purchase, NY; Topeka, KS
Hybrid schedule of at least three in-office days per week, Candidates that are not local must relocate within a few weeks of onboarding. Remote candidates will not be considered.
• . 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
ROLE SUMMARY
The Reporting Data Analyst partners with business groups across the Property & Casualty (P&C) insurance domain to define and deliver reporting and data extracts requirements. This role serves as a subject matter expert (SME) on enterprise data warehouse content and key source systems, ensuring accurate interpretation of insurance data, consistent definitions, and reliable reporting outputs.
ROLE RESPONSIBILITIES
• Act as a data and domain SME for P&C insurance subject areas (e.g., policy, claims, financials).
• Collaborate with business stakeholders to gather, clarify, and validate reporting and extract requirements.
• Translate insurance business concepts into accurate data logic, metrics, and dimensional definitions.
• Leverage knowledge of source applications (e.g., Guidewire, Genius, SAP) to ensure correct data interpretation and lineage.
• Ensure reports and extracts align with approved business definitions, regulatory needs, and data governance standards.
• Create and validate SQL queries, views, or semantic-layer objects against the enterprise data warehouse.
• Review and certify reports for accuracy, reconciliation, and consistency across systems.
• Document data definitions, business rules, and reporting assumptions.
• Support UAT and investigate data discrepancies between source systems and the data warehouse.
• Educate business users on proper interpretation and usage of insurance data.
TECHNICAL QUALIFICATIONS
• 8+ years as a hands-on IT Reporting data analyst.
• 4+ years of experience in reporting or data analysis within the Property & Casualty insurance industry; reinsurance experience is preferred but not required.
• 3+ years hands-on experience with Strategy (formerly MicroStrategy), Microsoft Power BI or similar product.
• Working knowledge of insurance source systems such as Guidewire (Policy, Billing, Claims), Genius, and SAP.
• Strong SQL skills and experience querying enterprise data warehouses.
• Understanding of dimensional modelling and enterprise reporting concepts.
GENERAL QUALIFICATIONS
• Strong initiative; able to self-manage. Comfortable with ambiguity and able to work through it to get the right things done.
• Excellent Communication skills, both written and verbal, understanding communication channels and escalation paths.
• Proven experience working directly with senior business stakeholders

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