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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0242373 Location: Beavercreek,OH,US Share job via: Share Data Analyst The Opportunity: The Data Analyst will work with a team to provide high-quality service to our ...

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Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Ohio? The most popular types of Insurance Data Analytics jobs in Ohio are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Ohio? For Remote Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Ohio look for? The top searched job categories for Remote Insurance Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Remote Insurance Data Analytics jobs? Cities in Ohio with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Manager of Data Analytics and Reporting

Manager of Data Analytics and Reporting

Gifthealth Inc

Columbus, OH • Remote

$115K - $140K/yr

Other

Posted 22 days ago

Job description

Description

About Us

At Gifthealth, we're revolutionizing the way people experience healthcare by simplifying the process of managing prescriptions and health services. Our mission is to provide a seamless, personalized, and efficient healthcare experience for all our customers. We're a dynamic, innovative, and customer-centric company dedicated to making a positive impact on people's lives.


Position Summary

The Manager of Data Analytics and Reporting is responsible for leading Gifthealth's data analytics function, owning the end-to-end strategy, team development, and delivery of reporting and insights that drive business decisions. The ideal candidate has deep experience in SQL and BI tools like Looker and Metabase, a track record of managing analysts or engineers, and the ability to translate complex data questions into clear, actionable insights for stakeholders across the organization."


Key Responsibilities  
  • Lead and develop a team of data analysts, fostering a culture of curiosity, rigor, and
  • continuous improvement
  • Own the end-to-end strategy, development, and quality of the analytics and reporting function
  • Partner with engineering, product, and clinical leadership to translate complex business
  • questions into actionable insights
  • Drive adoption of self-serve reporting tools and ensure stakeholders can make confident, data
  • Define and enforce data governance standards for metrics, dashboards, and reporting pipelines
  • Facilitate roadmap planning and prioritization for the analytics team
  • Ensure compliance and confidentiality of Personal Health Information (PHI) across all reporting surfaces
Qualifications
  • Education: BS in Statistics, Mathematics, Economics, Computer Science, or comparable quantitative field and relevant work experience in analytics or data engineering, with demonstrated leadership
  • Experience: 6+ years of experience in analytics, business intelligence, or data engineering and 2+ years of experience managing or leading a team of analysts or engineers
  • Skills:  
  • Deep proficiency with SQL, Python, and BI tools (we use Looker and Metabase)
  • Experience with dbt, data warehouse design, and modern analytics engineering practices
  • Strong communication skills - you can translate data complexity into clear narratives for non-technical stakeholders
  • A proactive approach to building systems and processes that scale
  • Experience in healthcare analytics or regulated data environments preferred
  • An excitement about learning healthcare and the pharmacy space from a unique vantage point
Work Environment
  • Location: Remote
Employment Classification

Status: Full-time
FLSA: Exempt

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel.Gifthealth reserves the right to modify job duties or descriptions at any time.

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