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At Home Insurance Data Analytics Jobs in Romeoville, IL

PLZ Aeroscience

IT Data Analytics Lead

Downers Grove, IL · On-site

$140K/yr

Whether at our manufacturing facilities or corporate headquarters, PLZ prioritizes health and ... Voluntary benefits including additional life, disability, and hospital/accident insurance. * 401k ...

Plz Aeroscience

IT Data Analytics Lead

Downers Grove, IL · On-site

$140K/yr

Whether at our manufacturing facilities or corporate headquarters, PLZ prioritizes health and ... Voluntary benefits including additional life, disability, and hospital/accident insurance. * 401k ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

You'll feel right at home here if you think differently, build boldly, and lead with impact. We're ... You'll uncover insights, design data products, and help clients realize value through analytics.

Inspire11

Data Analyst

Chicago, IL · On-site

You'll feel right at home here if you think differently, build boldly, and lead with impact. We're ... You'll uncover insights, design data products, and help clients realize value through analytics.

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... We offer medical, dental, vision, and life insurances; short and long-term disability; a Company ...

Apex Fintech Solutions

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

At Apex, we are changing how the securities industry operates by reinventing the status quo, which ... Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1 ...

Apex Fintech Solutions

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

At Apex, we are changing how the securities industry operates by reinventing the status quo, which ... Our offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila are home to over 1 ...

The Hartford

Business Data Analyst

Chicago, IL · Hybrid

$80K - $120K/yr

Bachelor degree with at least 6+ years of experience in business analysis or data analysis supporting data and analytics projects. * Deep Insurance Domain fluency, translate regulatory, actuarial and ...

Segal

Health Benefits Data Analyst

Chicago, IL · On-site

$62K - $75K/yr

... analytics utilizing SQL, including technical review of medical and health insurance contracts ... Your unique background and skills matter because at Segal, we believe that different experiences ...

Compsych Corporation

Data Analyst

Chicago, IL · On-site

$67K - $72K/yr

Develop and maintain dashboards and reports using Power BI and other analytics tools * Build and ... Must be able to sit or stand at a desk for prolonged periods while working on a computer Benefits ...

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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

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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
Product Manager, Data Analytics

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site

$106K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Equity Residential rating

7.5

Company rating: 7.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

70th of 210 rated facilities management

Job description


Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Equity Residential's analytics and machine-learning enabled products. This role sits at the intersection of data science, software engineering, and business strategy. Translating analytical insights into scalable systems and partnering with technical teams to operationalize machine learning models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.
PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
WHAT YOU'LL DO:
  • Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.
  • Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.
  • Leads prioritization across competing business and technical needs, managing backlogs and release plans.
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise.
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints.
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.
  • Ensures all ML-driven product features emphasize explain ability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system reliability) to measure product performance and business impact.
  • Establishes a structured cadence for reviewing KPIs with cross-functional partners and initiating corrective actions or enhancements.
  • Drives successful delivery of milestones across pilots, MVP releases, and product iterations.
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes.
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams.
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates to maintain alignment and transparency.
  • Communicates complex analytical concepts in a clear, business-relevant manner for stakeholders at all levels.
  • Supports change management, training, and adoption for new analytics capabilities across the organization.

REQUIREMENTS:
  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred.
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers.
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance.
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau, etc.).
  • Proven experience with Agile methodologies, backlog management, sprint execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review cadences, and leading data-driven decision processes.
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate, hospitality, travel, etc.).
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders.

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.
SALARY:
$106,228-$132,785per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
WE CARE ABOUT YOUR TOTAL WELLBEING:
  • Physical Wellbeing: Medical, dental, and vision care
  • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
  • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
  • Community Wellbeing: Paid Community Service Hours
  • Career Wellbeing: Leadership Development
  • Learn more about our Total Wellbeing program here.

RELOCATION:
Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.
PHYSICAL AND VISUAL ACTIVITIES:
Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.
The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. Commonly associated is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.
WORKING ENVIRONMENT:
Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Employees enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.
Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.
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