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At Home Insurance Data Analytics Jobs (NOW HIRING)

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 ...

EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using ... support insurance datasets such as policy, claims, billing, actuarial, and customer information ...

At Kia, we're creating award-winning products and redefining what value means in the automotive ... A strong foundation in data analytics and statistics are necessary to ask the right questions ...

Data Analytics

Dallas, TX · On-site

$113K - $136K/yr

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and ... Data Analysis & Insights: Perform deep-dive statistical analysis using SQL, Python, or R to ...

... data centers to people's homes. We deliver future-ready technologies, advanced engineering ... Exposure to manufacturing or production systems is a plus #LI-DNI At Chemelex: We protect places of ...

At SATAIR, we believe in sustainable aviation that allows people to travel and connect across the ... Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Our Offering At Schaeffler, our success is driven by our employees. We value what you bring to our ... Employees receive access to a range of medical, dental, and vision insurance plans, ensuring their ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Analyst, Data & Analytics

Long Beach, CA · On-site +1

$49K - $107K/yr

Job Qualifications REQUIRED QUALIFICATIONS: • At least 2 years of experience in data analysis, reporting, or healthcare analytics, or equivalent combination of relevant education and experience ...

Sr. Data Analytics Analyst

Columbus, OH · On-site

$83K - $104K/yr

Plus, access to our onsite wellness center and pharmacy located at the Columbus, OH home office ... insurance. * Tuition reimbursement and scholarship opportunities for post-secondary education ...

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

If you're excited about live events, cutting-edge technology, and doing work that truly matters, you'll feel right at home here. The Role: The Data & Analytics Lead is the "intelligence engine" for ...

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

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At Home Insurance Data Analytics information

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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 the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 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 cities are hiring for At Home Insurance Data Analytics jobs? Cities with the most At Home Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most At Home Insurance Data Analytics jobs? States with the most job openings for At Home Insurance Data Analytics jobs include:

Lead Insurance Data Scientist

EPIC Brokers

Dallas, TX • On-site

$150/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Come join our team!
There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and "bring it" every day, EPIC is always looking for people who have "the right stuff" - people who know what they want and aren't afraid to make it happen.
Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees.
Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team!
JOB OVERVIEW:
The Data Scientist role is a unique opportunity for actuaries and data scientists who want to apply analytical rigor to real business challenges while expanding into technology-enabled solution development. In this role, you will help shape client-facing and operational analytics that drive smarter decisions across the organization.
Join our Enterprise Data & Analytics team and play a central role in advancing data analysis, visualization, and innovation across our Property & Casualty and Employee Benefits businesses. You will work hands-on to build, validate, and operationalize analyses, dashboards, and analytics applications across EPIC's commercial lines and benefits portfolio. Working within a lean, high-impact team, you will collaborate closely with solution engineers and business stakeholders to bring analytics into production on the Azure Databricks platform.
LOCATION: Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations (for a full list, visit: https://www.epicbrokers.com/about/locations/)
WHAT YOU'LL DO:
A detailed list of job duties includes (but is not limited to):
• Collect, integrate, cleanse, and manage data from a variety of insurance-related sources.
• Perform exploratory data analysis to identify trends, patterns, and actionable insights within complex datasets.
• Develop analytical solutions and process efficiencies using statistical methods, database technologies, and programming tools.
• Create dashboards, visualizations, and reporting assets that communicate insights clearly to business stakeholders.
• Prototype new ideas, support statistical research, and apply data science techniques to address recurring business and data quality challenges.
WHAT YOU'LL BRING:
Required Qualifications
• Bachelor's degree in Computer Science, Mathematics, Actuarial Science, Finance, Insurance, or a related field, or an equivalent combination of education and experience.
• Proficiency with analytical tools and platforms such as Python, SQL, Excel, Tableau, Power BI, or Databricks.
• Experience working with relational databases and applying core data analysis techniques.
• Required: 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 multiple priorities in a self-directed environment.
• Excellent verbal and written communication skills, with the ability to work effectively across functions.
• Demonstrated problem-solving ability and sound analytical judgment.
Preferred Qualifications
• Experience in the insurance industry or broader financial services sector.
• Strong intellectual curiosity, a proactive approach to problem-solving, and exceptional attention to detail.
• Familiarity with hypothesis testing and other statistical evaluation techniques.
COMPENSATION:
The national average salary for this role is $100 000.00 - $150 000.00 in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data.
WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide - and we're growing! It's a great time to join the team and be a part of this growth. We offer:
  • Generous Paid Time off
    • Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
  • Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
  • Generous employee referral bonus program of $1,500 per hired referral
  • Employee recognition programs for demonstrating EPIC's values plus additional employee recognition awards and programs (and trips!)
  • Employee Resource Groups: Women's Coalition, EPIC Veterans Group
  • Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
  • Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support
  • Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs
  • 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!
  • EPIC Gives Back - Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation
  • We're in the top 10 of property/casualty agencies according to "Insurance Journal"

To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/.
EPIC embraces diversity in all its various forms-whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.
California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.
Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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