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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Background in healthcare, pharmaceutical, biopharma, or insurance environments * Exposure to ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Background in healthcare, pharmaceutical, biopharma, or insurance environments * Exposure to ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Columbus, OH · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Strategic Data Scientist

Columbus, OH · On-site +1

$108K - $181K/yr

Build trusted relationships with CSTs and external clients by using data stories to demonstrate the ... Deliver proactive analyses of portfolio performance, customer needs, and business risks or ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Showing results 41-60

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?

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 cities in Ohio are hiring for Remote Insurance Data Analytics jobs?

Cities in Ohio with the most Remote Insurance Data Analytics job openings:

Junior Reporting & Analytics Specialist

NXTThing RPO

Columbus, OH • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

About Us:
At NXTThing, we're redefining the future of talent acquisition. We believe hiring is both an art and a science, and we're building a new approach that combines innovative technology, data-driven insights, and the human expertise needed to transform how companies attract, engage, and hire talent.
Through our recruitment solutions, Personegy™ hiring platform, and Talentegy™ analytics solutions, we bring together people, technology, and data to challenge traditional hiring models and create smarter talent experiences.
Join us as we continue rewriting the playbook for talent acquisition and building what's next in the future of hiring.
We are seeking a motivated and detail-oriented Junior Reporting & Analytics Specialist to join our team. This is a great opportunity for a recent graduate looking to launch a career in data analytics and business intelligence. In this role, you will support the development and maintenance of reporting systems, assist with data analysis, and help deliver insights that inform decision-making across the organization.
Key Responsibilities:
  • Assist in designing and maintaining dashboards, reports, and data visualizations using tools such as Power BI, Tableau, or similar platforms.
  • Support data extraction, transformation, and loading (ETL) from multiple sources to help build unified data sets.
  • Help identify trends, patterns, and anomalies in data sets under the guidance of senior team members.
  • Collaborate with business stakeholders to understand reporting needs and support KPI tracking.
  • Assist with maintaining data dictionaries, documentation, and data governance standards.
  • Help automate recurring reports and processes to improve efficiency.
  • Support the preparation of clear, concise summaries of findings for team and stakeholder review.
  • Help ensure data accuracy, integrity, and consistency across reporting outputs.
  • Stay curious about industry trends and emerging technologies in data analytics and reporting.
Required Qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, or a related field (recent graduates encouraged to apply).
  • 0-1 years of professional experience in reporting, analytics, or business intelligence (internships, co-ops, and academic projects welcome).
  • Basic proficiency in SQL for data extraction and manipulation.
  • Exposure to data visualization tools such as Power BI, Tableau, Looker, or similar (coursework or project experience counts).
  • Strong analytical and problem-solving mindset with attention to detail.
  • Good communication skills with an interest in translating data into clear insights.
  • Familiarity with Microsoft Excel and other Office applications.
  • Eagerness to learn and grow in a collaborative, fast-paced environment.
Preferred Qualifications:
  • Coursework or hands-on project experience with Google Looker.
  • Exposure to programming languages such as Python or R.
  • Familiarity with ETL processes and data warehousing concepts.
  • Basic understanding of cloud platforms (AWS, Azure, Google Cloud).
  • Coursework in statistics or predictive analytics.
What We Offer:
  • Unlimited paid time off
  • 2, 1-week shutdowns per year
  • Paid holidays
  • Company paid medical, dental & vision insurance
  • Strong work-life balance

At NXTThing RPO we understand that we are at our best when our people can be their authentic selves at work and we are committed to providing an inclusive environment for our team, our clients, and our communities. Employment decisions are based on an individual's qualifications and merit, however, never with regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

NXTThing RPO logo

About NXTThing RPO

Sourced by ZipRecruiter

NXTThing RPO, located in Columbus, Ohio, is a highly specialized firm that operates within the recruitment processing outsourcing (RPO) industry. The company prides itself on providing cutting-edge staffing solutions, redefining traditional approaches through innovative strategies and advanced technological implementations. Having been founded on the core value of delivering efficient and effective hiring processes, NXTThing RPO aims to revolutionize talent acquisition by leveraging advanced technologies to provide flexible, scalable, and cost-effective recruiting solutions for their clients.

Industry

Recruiting and staffing services

Company size

1 - 10 Employees

Headquarters location

Columbus, OH, US

Year founded

2018

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