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At Home Insurance Data Analytics Jobs in Indiana

Pae

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

... at the time this posting was issued. Actual compensation may vary based on factors such as job ... Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type ...

CSAA

... Montana - Home Teleworkers {+ 21 more} Job Information CSAA Insurance Group (CSAA IG), a AAA ... At CSAA IG, we are a mission-driven organization proudly committed to empowering our members, our ...

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At Home Insurance Data Analytics information

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 Indiana? The most popular types of Insurance Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for At Home Insurance Data Analytics jobs? Cities in Indiana with the most At Home Insurance Data Analytics job openings:
At Home Insurance Data Analytics jobs near you
Data Analytics Specialist

Data Analytics Specialist

Amentum

Crane, IN • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Are you looking for an exciting, innovative company with over 100 years of excellence and commitment to ethical business? Amentum is a trusted partner to United States government agencies, allied governments, and corporations worldwide supporting critical programs across a broad range of domains. We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data engineering and analytics. The ideal candidate will have strong expertise with toolsets for data mining, statistical modeling, optimization, and data visualization for the purpose of driving engineering insights.
Key Responsibilities
  • Design, develop, and optimize scalable data processing applications.
  • Write clean, efficient, and reusable Python code for data engineering and analytics tasks.
  • Analyze complex datasets to identify trends, patterns, and actionable engineering insights.
  • Implement data transformations, aggregations, and workflows to support analytics and reporting.
  • Ensure high data quality, integrity, and reliability across large-scale datasets.
  • Collaborate with scientists, engineers, analysts, and cross-functional teams to optimize data workflows and integrate solutions into existing systems.
  • Gather requirements from stakeholders and translate them into effective data solutions.
  • Participate in code reviews and uphold high coding standards and best practices.
  • Mentor junior team members and actively contribute to knowledge sharing within the team.
  • Stay current with emerging technologies and best practices in data automation, statistical simulation, and data visualization.

Requirements
  • 2-5 years of hands-on experience in data engineering or analytics roles.
  • Bachelor of Science or advanced degree from an ABET accredited school.
  • Strong proficiency in Python.
  • Excellent problem-solving skills and attention to detail.
  • Ability to collaborate effectively with technical and non-technical stakeholders.
  • Must have the ability to obtain and maintain a TS/SCI US Government Clearance. Interim Secret clearance required to start. Please note US Citizenship is required to obtain a Secret/ TS/SCI Clearance.
  • Experience mentoring junior developers is a plus.

Compensation Details:
$100,000 -$160,000 annually
The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.
Benefits Overview:
Our health and welfare benefits are designed to support you and your priorities. Offerings include:
  • Health, dental, and vision insurance
  • Paid time off and holidays
  • Retirement benefits (including 401(k) matching)
  • Educational reimbursement
  • Parental leave
  • Employee stock purchase plan
  • Tax-saving options
  • Disability and life insurance
  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.
Original Posting:
07/10/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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