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At Home Insurance Data Analytics Jobs in Romeoville, IL

The LaSalle Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

$160K - $180K/yr

The ideal candidate combines strong finance knowledge with expertise in data and analytics, excels at leading cross-functional projects, and has the communication skills to influence stakeholders ...

Crowe LLP

Data Analytics Developer Intern

Chicago, IL · On-site

$27 - $42/hr

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work ... As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing ...

Crowe LLP

Data Analytics Developer Intern

Chicago, IL · On-site

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work ... As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing ...

Ankura

Associate, Forensic Data & Analytics

Chicago, IL · Hybrid

$7.0K - $90K/yr

Forensic Data & Analytics specializes in the development of innovative and technology-driven ... At Ankura, it is not typical for an individual to be hired at or near the top of the range for ...

US Bank

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Ankura

Associate, Forensic Data & Analytics

Chicago, IL · On-site

$7.0K - $90K/yr

Practice Overview Forensic Data & Analytics specializes in the development of innovative and ... At Ankura, it is not typical for an individual to be hired at or near the top of the range for ...

Koch Industries

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

Our Team Molex's Optical Connectivity Group is at the forefront of designing and delivering cutting ... accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational ...

JLL

Manager, Data Analytics- Industrial

Chicago, IL · On-site

Our people at JLL are shaping the future of real estate for a better world by combining world class ... Own the data infrastructure and analytical output that power the National Industrial platform.

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

As of Sep 11, 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?

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 are the key skills and qualifications needed to thrive as an at home insurance data analytics professional?

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 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 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

Sr Manager, Data & Analytics

Chicago, IL • On-site

The LaSalle Group
See more jobs at The LaSalle Groupexternal

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Senior Finance Manager, Data & Analytics
Location: Flexible / Hybrid
Compensation: $130,000-$180,000 base salary, eligibility to earn discretionary bonus
About the Role
We are seeking a strategic and results-driven Senior Finance Manager, Data & Analytics to lead finance transformation initiatives through data, analytics, automation, and artificial intelligence. This role will serve as a key partner to Finance leadership, driving projects that enhance reporting capabilities, improve decision-making, streamline processes, and enable scalable data solutions across a global organization.
The ideal candidate combines strong finance knowledge with expertise in data and analytics, excels at leading cross-functional projects, and has the communication skills to influence stakeholders across Finance, IT, and the business.
Key Responsibilities
  • Lead and deliver finance data and analytics initiatives from strategy through implementation, ensuring projects are completed on time and aligned with business objectives.
  • Partner with Finance leaders to identify opportunities to improve reporting, analytics, forecasting, and decision support through modern data solutions.
  • Drive process optimization and automation initiatives that improve efficiency, data quality, and standardization across finance functions.
  • Identify and implement AI-enabled solutions that enhance financial processes, reporting, and analytical capabilities.
  • Collaborate with Finance, IT, Data, and external partners to develop scalable reporting and analytics platforms.
  • Translate business requirements into technical solutions while serving as the primary liaison between finance stakeholders and technical teams.
  • Establish governance, documentation, and best practices for finance data, reporting, and analytics.
  • Develop executive dashboards, KPIs, and performance reporting that provide actionable business insights.
  • Lead cross-functional project teams, manage project plans, risks, and stakeholder communications.
  • Champion change management efforts by driving user adoption, training, and continuous improvement.

Qualifications
Required
  • Bachelor's degree in Finance, Accounting, Business Analytics, Information Systems, Data Analytics, or a related field.
  • 7+ years of experience in finance data, analytics, finance transformation, business intelligence, or related functions.
  • Demonstrated experience leading complex, cross-functional projects from planning through execution.
  • Strong understanding of financial reporting, planning, budgeting, forecasting, and financial processes.
  • Experience implementing reporting, analytics, automation, or AI solutions within finance organizations.
  • Exceptional communication and presentation skills with the ability to engage stakeholders at all organizational levels.
  • Proven ability to translate business needs into scalable data and technology solutions.
  • Strong analytical, problem-solving, and organizational skills.

Preferred
  • Experience within a global manufacturing or consumer packaged goods (CPG) organization.
  • Familiarity with ERP platforms such as SAP, Oracle, or similar enterprise systems.
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of data warehousing, SQL, cloud analytics platforms, or finance data architecture.
  • Experience with AI, machine learning, or generative AI applications in finance.
  • PMP, Agile, Lean Six Sigma, or similar project management certification is a plus.

What You'll Bring
  • A passion for using data and technology to transform finance.
  • Strong leadership and project management capabilities.
  • Excellent relationship-building and stakeholder management skills.
  • A collaborative mindset with the ability to influence without direct authority.
  • Continuous improvement mentality and a focus on delivering measurable business value.

Compensation & Benefits
  • Base salary: $130,000-$180,000, based on experience and qualifications.
  • Eligibility to earn discretionary bonus.
  • Comprehensive health, dental, and vision benefits.
  • Retirement savings program with company match.
  • Paid time off and company holidays.
  • Professional development and career growth opportunities within a global organization.

Join us in shaping the future of finance through data, analytics, and innovation while helping drive smarter business decisions across our global enterprise.
Thank you,
Allee Struve
Recruiting Lead
LaSalle Network
#LI-AS6
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.

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