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At Home Insurance Data Analytics Jobs in Romeoville, IL

Life insurance * 401(k) retirement plan with company match * Paid holidays and vacation * Short ... Ardagh reserves the right to modify this information at any time in accordance with applicable law.

Life insurance * 401(k) retirement plan with company match * Paid holidays and vacation * Short ... Ardagh reserves the right to modify this information at any time in accordance with applicable law.

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

... excels at working with large datasets, building scalable analytics solutions, and uncovering ... Perks & Benefits • 401(k) with Employer Match • Health Insurance (with HSA option) • Dental ...

... excellence and data analytics. The Analyst Is responsible for supporting the priorities and ... Be at Home at Home Chef We all show up authentically at Home Chef. Our team includes individuals ...

At CNA, we strive to create a culture in which people know they matter and are part of something ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

At CNA, we strive to create a culture in which people know they matter and are part of something ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

At CNA, we strive to create a culture in which people know they matter and are part of something ... Solid knowledge of core functions of an insurance company, general insurance and statistical ...

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At Home Insurance Data Analytics information

See Romeoville, IL salary details

$25

$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:
Sr Manager, Data & Analytics

Sr Manager, Data & Analytics

ARDAGH GROUP

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Ardagh Group rating

8.1

Company rating: 8.1 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

22nd of 112 rated packaging manufacturers


Job description

Role Description:

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI applications to deliver actionable insights and drive business value. In this role, you will develop and execute a comprehensive data and analytics strategy, lead data integration and governance efforts, and define and implement AI models that align with business objectives within the Finance function and the broader organization.

The role will touch all aspects on the business and interface with various functions. It is a highly visible role with frequent exposure to senior leaders in the organization.

Key Responsibilities:

  • Develop and implement a comprehensive data and analytics strategy that supports the company’s financial and business goals
  • Support the transformation of the finance function and other departments through advanced analytics
  • Co-create D&A strategy with the IT Function to ensure data foundations are set to enable analytics initiatives
  • Collaborate with leadership to identify and prioritize key financial analytics initiatives
  • Enable reporting automation by developing and maintaining dashboards using data visualization tools that communicate key performance indicators (KPIs) and insights to stakeholders
  • Work closely with the CEO, CFO and other members of the leadership team to establish and coordinate the AI Governance Council
  • Own and advance the Technology Roadmap, ensuring alignment with business strategy and enterprise architecture
  • Establish and enforce data governance policies and procedures within Finance
  • Ensure the accuracy, consistency, and reliability of all data used for analysis and reporting
  • Act as Finance Lead/ owner of financial systems (HFM, Tagetik)
  • Collaborate with FP&A on the development of predictive and prescriptive analytics models to support financial forecasting and strategic planning
  • Conduct ad hoc analyses to answer specific business questions and support strategic decision-making

 

Requirements:

  • Minimum Bachelor’s degree in data science, statistics, finance or accounting
  • 7+ years of experience in data analytics, with relevant financial experience
  • Familiarity with data analysis tools and languages such as SQL, Excel, Python, or R
  • Experience with visualization tools such as PowerBI or Tableau
  • Familiarity with statistical methods and data modelling techniques
  • Experience in Manufacturing industry a plus
  • SAP experience a plus
  • Self-starter with strong results orientation
  • Collaborative style with proven written and verbal communication skills

Ardagh Metal Packaging is a leading global supplier of sustainable, infinitely recyclable metal beverage cans to brand owners. A subsidiary of sustainable packaging business Ardagh Group and a leading industry metal packaging company, Ardagh Metal Packaging employs more than 6,300 people across Europe, North America and Brazil, with sales of approximately $4.7 billion.

Ardagh Metal Packaging believes that the success of our business depends on the success of our people. We strive to create working environments where our employees feel valued and can work to their full potential. We offer exciting and rewarding opportunities for talented and creative people. If you have ambition and want to make an impact with your career, come and join our team - you’ll enjoy the journey!

Ardagh Metal Packaging - North America has been and will continue to be an equal opportunity employer. All employment decisions are made without regard to sex, gender (including pregnancy, childbirth, breast feeding, and related conditions), sexual orientation, gender identity, gender expression, race, creed, religion (including religious dress and grooming), color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition, genetic information, marital or domestic partner status, age, veteran or military status or any other basis prohibited by federal, state, or local law. Discrimination against any employee or applicant based on any of these factors is prohibited.

The anticipated base annual salary range for this role is between $121,800.00 and $182,600.00 per year.  This role is bonus eligible. The bonus incentive program is based on the company meeting or exceeding certain targets. Please note that the salary range provided is a good faith estimate and is only applicable for roles that are based out of Illinois. The final salary will be determined after considering relevant factors, including, but not limited to, a candidate’s qualifications, experience, and work location, where appropriate.

Benefits Offered:

  • Medical, prescription, dental and vision plans 
  • Flexible Spending Accounts (FSA) 
  • Life insurance  
  • 401(k) retirement plan with company match
  • Paid holidays and vacation 
  • Short- and Long-Term Disability (STD/LTD) 
  • Employee Assistance Program (EAP) 
  • Apprenticeship programs
  • Professional and personal development opportunities through Employee Resource Groups

Please note the compensation and benefits information above is accurate as of the date of this posting. Ardagh reserves the right to modify this information at any time in accordance with applicable law.

 


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