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At Home Insurance Data Analytics Jobs in Indiana

Hylant

Lead Data & Analytics Architect

Fort Wayne, IN · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims ... Must be willing and able to travel for in-person meetings at least on a quarterly basis * Ability ...

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At Home Insurance Data Analytics information

What does a data analyst do at an insurance company?

A data analyst at an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.

Can you work from home doing data analytics?

At Home Insurance Data Analytics roles often allow remote work, especially with the increasing adoption of telecommuting in the industry. These jobs typically require strong analytical skills, proficiency with tools like Excel or SQL, and good communication abilities, making remote work feasible for qualified candidates.

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.

Do insurance companies need a data analyst?

Insurance companies often employ data analysts to interpret large datasets, assess risk, and improve underwriting and claims processes. Data analysts in this field use statistical tools and programming skills to support decision-making and optimize business strategies.

How is data analytics used in the insurance industry?

In at home insurance data analytics, professionals analyze large datasets to assess risk, detect fraud, and personalize policy pricing. They use tools like statistical software and machine learning algorithms to improve underwriting accuracy and claims processing efficiency.
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 Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual Insurance Company

Fort Wayne, IN

Full-time

Posted 2 days ago

Job description

Job Title: Data & Analytics Analyst - Affiliates

FLSA Status: Exempt

Job Family: Affiliates

Department: Strategy & Operations - Affiliates

Location: Corporate Office (Fort Wayne, IN)


JOB SUMMARY
Responsible for the collection, storage, interpretation, and visualization of company and Affiliate data. Serves as team lead in bringing together data sets in visualization tools, and creating views that identify areas for portfolio focus and attention. Key contributor and input into the buildout and execution of the
Affiliate Data & Analytics practice in support of BrotherhoodWorks, Lightwell & ACG Agencies, and BMIC.


POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Understand objectives, business strategies, and key performance indicators (KPI’s) to provide meaningful management information and analysis to help drive financial and business performance.
  • Develop and maintain Affiliate dashboards through Power BI and other tools.
  • Identify trends, data discrepancies, and/or process improvement opportunities and provide recommended solutions to management.
  • Design, develop and implement predictive and descriptive data mining models to support data driven decision-making.
  • Facilitate development and operationalization of an environment of management information, business intelligence, and decision-making tools for Affiliate team members, and executive leadership.
  • Evaluate and recommend emerging technologies, products, and enterprise-wide solutions.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as product use in the Affiliate niche market.
  • Lead in the production of statistical models, tools, and processes.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Complete other projects as assigned.


KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions.

  • Possess excellent technical and analytical abilities.
  • Demonstrate experience with analytical software, database user interface and query software.
  • Expertise in data mining, mathematics, statistical analysis, and predictive modeling.
  • Possess skills in looking at things differently, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Must have a bachelor's degree in an analytically focused area e.g., data analytics, economics, finance, math, computer science, statistics, or related discipline.
  • Must have three to four years of experience in a data science, analytics, or business insights role with some level of experience in the general insurance industry.
  • At least one year of experience with Excel, SQL, and/or a statistical programming language (e.g., Python, R, SAS) is required.
  • Experience in building analytics using data pipelines, data visualization tools, or dashboard creation is desired.
  • A master's degree in data science, computer science, statistics, or related discipline is desired.
  • Experience on resume within the insurance or financial services industries is desired.


Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying
this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.

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