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Insurance Data Analytics Jobs in Columbus, OH (NOW HIRING)

Collabera

Data Steward/Data Entry

Dublin, OH · On-site

... Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... Role will be largely data analysis. Navigational experience in Microsoft programs Excel 2007 ...

Encova Insurance

Data Steward

Columbus, OH · On-site

$55K - $88K/yr

Develop an understanding of property and casualty insurance and assist with research, analysis, and implementation of data fixes to ensure proper reporting. Identify potential problems ...

Purple Drive Technologies

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential ... Insurance and Financial domain experience is highly desired.

Encova Insurance

Data Steward

Columbus, OH · Hybrid

$55K - $88K/yr

... insurance software as assigned. * Possess the ability to use technical tools to perform analysis ... Understand and access various data sources, using available reporting tools, to meet compliance ...

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Insurance Data Analytics information

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$23

$52

$91

How much do insurance data analytics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for insurance data analytics in Columbus, OH is $52.88, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $59.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Columbus, OH? The most popular types of Insurance Data Analytics jobs in Columbus, OH are:
What are popular job titles related to Insurance Data Analytics jobs in Columbus, OH? For Insurance Data Analytics jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Columbus, OH look for? The top searched job categories for Insurance Data Analytics jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Insurance Data Analytics jobs? Cities near Columbus, OH with the most Insurance Data Analytics job openings:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Columbus, OH as of June 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $109,990 per year, or $52.9 per hour.
Senior Data Scientist - Marketing Sponsorships

Senior Data Scientist - Marketing Sponsorships

Huntington National Bank

Columbus, OH • On-site

$70K - $140K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Description
Overview:
Our Enterprise Data and Analytics team is growing, and we're seeking an outstanding Senior Data Scientist to support and scale our continually expanding sponsorship portfolio. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal.
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Responsibilities:
  • Performs advanced analytics methods to extract value from business data
  • Performs large-scale experimentation and build data-driven models to answer business questions
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
  • Determines requirements that will be used to train and evolve deep learning models and algorithms
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
  • Influences product teams through presentation of data-based recommendations
  • Evangelizes best practices to analytics and products teams
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
  • Performs other duties as assigned

Basic Qualifications:
  • Master's degree in computer science, statistics, economics or related fields
  • 1+ years' work and/or educational experience in machine learning or cloud computing, experience using statistics, machine learning, and AI to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:
  • Up-to-date knowledge of machine learning, AI, and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background preferred

#LI-NG1
#LI-Onsite
Exempt Status: (Yes = not eligible for overtime pay) (No = 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. We're combining the best of both worlds: 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:
$70,000-$140,000 annually
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. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In 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).
Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. 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.

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