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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Partner across business, product, and Enterprise Data & Analytics (ED&A) teams to identify ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst Senior or Lead

Cleveland, OH ยท Remote

$81K - $131K/yr

You'll apply advanced analytics and AI-assisted techniques, including anomaly detection, trend ... Health care flexible spending accounts, health savings accounts, & life insurance * Paid time off ...

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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 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:

Analytics Product Owner: Onsite

Huntington

Columbus, OH โ€ข On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 12 days ago


Job description

Description

Summary

The Analytics Product Owner plays a strategic leadership role in identifying and advancing opportunities to use data, analytics, and AI to improve customer experiences, business performance, and operational efficiency. This role sits at the intersection of business strategy, product, and enterprise analytics, partnering closely with business leaders and the Enterprise Data & Analytics (ED&A) team to shape a prioritized portfolio of high-value initiatives. At Huntington, this is an opportunity to help shape how a large regional bank applies modern data and AI capabilities at scaleโ€”across a broad customer base, diverse lines of business, and an expanded footprintโ€”to solve meaningful business problems and improve customer outcomes. With nearly 1,400 branches across 21 states, Huntington offers the resources, visibility, and reach to drive measurable impact for millions of customers.

Duties & Responsibilities

  • Partner across business, product, and Enterprise Data & Analytics (ED&A) teams to identify, prioritize, and deliver high-value analytics, data, and AI initiatives that improve customer, business, and operational outcomes.
  • Provide thought leadership on how data, analytics, and AI can be used to:
    • Improve customer experiences and business outcomes
    • Increase operational efficiency and simplify business processes
  • Translate business priorities into a clear, prioritized analytics roadmap and actionable work for the Enterprise Data & Analytics (ED&A) team.
  • Prepare and deliver executive-level updates on:
    • Strategic opportunities and business priorities
    • Roadmap priorities, business cases, and expected impact
    • Execution progress across business and ED&A, including risks, issues, and blockers
    • Realized impact across revenue, cost, efficiency, and customer outcomes
  • Drive alignment, momentum, and accountability across cross-functional stakeholders to ensure initiatives progress and deliver measurable value.
  • Own value realization and adoption across the analytics roadmap to ensure delivered solutions achieve intended outcomes.
  • Lead governance routines that support prioritization, decision-making, risk management, and successful delivery across the analytics portfolio.
  • Define and own the measurement framework, including OKRs, KPIs, and success metrics.
  • Monitor and communicate progress through regular business reviews using defined goals, milestones, and performance measures.
  • Partner with business stakeholders to:
    • Drive adoption and enable behavior change
    • Identify new opportunities where analytics and AI can create value

Basic Qualifications

  • Bachelorโ€™s degree
  • 7+ years of experience in product management, analytics, strategy, or delivery roles within banking, financial services, or another regulated industry

Preferred Qualifications

  • Experience translating business needs into prioritized roadmaps, requirements, or actionable work plans
  • Experience identifying opportunities to apply data, analytics, or AI to improve customer, business, or operational outcomes
  • Strong communication and influencing skills, with experience presenting to senior leaders and cross-functional stakeholders
  • Experience as an Analytics Product Owner, Product Owner, or business lead for analytics, data, or AI initiatives
  • Strong understanding of data and analytics concepts, including KPIs, measurement frameworks, experimentation, and value realization
  • Experience building business cases and tracking impact across revenue, cost, efficiency, and customer outcomes
  • Familiarity with practical applications of AI and machine learning to improve business processes and customer experiences
  • Experience working in agile environments with backlog prioritization and cross-functional delivery teams
  • Proven ability to influence stakeholders and drive adoption across business and technical teams
  • Experience in consumer banking, business banking, digital channels, customer experience, or transformation initiatives
  • Advanced degree or relevant certifications in business, analytics, data, or related disciplines


Exempt Status: (Yesย = not eligible for overtime pay) (Noย = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. Weโ€™re combining the best of both worlds: ย in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. โ€ฏColleagues in this position are also eligible to participate in an applicable incentive compensation plan. โ€ฏIn addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).ย 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: ย Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. ย All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.