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

Senior Analyst, Data and Analytics Team

Columbus, OH · On-site

$83K - $104K/yr

Who you are: * 3+ years working in analytics or a data-driven role * SQL skills that go beyond copy ... Extended benefit offerings including medical/dental/vision, parental leave, life insurance, short ...

Our Data, Analytics & AI team supports and enables the business with AI platforms, expertise and ... life insurance, business travel insurance, Employee Assistance Program, and domestic partner ...

Our Data, Analytics & AI team supports and enables the business with AI platforms, expertise and ... life insurance, business travel insurance, Employee Assistance Program, and domestic partner ...

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

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Insurance Data Analytics information

See Columbus, OH salary details

$23

$52

$91

How much do insurance data analytics jobs pay per hour?

As of Aug 8, 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 insurance data analytics?

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.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

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 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:
Infographic showing various Insurance Data Analytics job openings in Columbus, OH as of July 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 83% In-person, 5% Hybrid, and 12% Remote job distribution, with an average salary of $109,990 per year, or $52.9 per hour.

Business Banking Data Owner Senior Associate - Insurance

J.P. Morgan

Columbus, OH

Full-time

Medical, Retirement

Posted 5 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Job Description

As a Data Owner Senior Associate within Business Banking, you will be accountable for data created, provisioned, or consumed across Business Banking products and applications in support of business objectives, advanced analytics, operations, regulatory obligations, and reporting. You will partner with Product, Technology, Analytics, Operations, Risk, Control, and Data Management teams to ensure critical data is clearly defined, properly classified, well-documented, high quality, and protected throughout its lifecycle.

In this role, you will help advance Business Banking's data strategy by defining data requirements, uplifting metadata, supporting data integration into analytics platforms, and executing processes that identify, monitor, and mitigate data risks. You will also help translate business needs into clear data specifications, support remediation of data issues, and maintain documentation that improves data understanding, control, and reuse across the organization.

Job Responsibilities

  • Define and document the scope, meaning, purpose, ownership, and classification of critical Business Banking data.
  • Create plans for the development and delivery of product data to support strategic objectives, operations, analytics, AI/ML use cases, and reporting.
  • Document requirements for data accuracy, completeness, timeliness, lineage, metadata, and consumption across business and technology stakeholders.
  • Execute processes to identify, monitor, and mitigate data risks, including risks related to protection, retention and destruction, storage, use, access, and quality.
  • Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
  • Support integration of Business Banking data into approved analytics and reporting platforms while maintaining data governance and control expectations.
  • Track workstreams, issues, KPIs, and deliverables to support transparent execution of data initiatives.
  • Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree required.
  • 4+ years of experience in a data-related field, such as data management, data governance, data analytics, data engineering, product data, business analysis, or data quality.
  • Experience working with business or product data, including requirements definition, data documentation, issue analysis, or data controls.
  • Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
  • Ability to translate business needs into clear data requirements and partner with technology teams on implementation.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Proven ability to manage multiple workstreams and deliver through cross-functional partnerships.
  • Familiarity with SQL, database concepts, cloud or big-data platforms, or data modeling concepts.

Preferred Qualifications, Capabilities, and Skills

  • Business Banking, lending, deposits, servicing, payments, or small business financial services experience.
  • Experience with Snowflake, AWS, Databricks, Hadoop/Spark, Alteryx, Tableau, or similar data platforms/tools.
  • Experience with data governance frameworks, metadata repositories, data catalogs, lineage, data quality rules, or issue management.
  • Familiarity with Agile delivery, JIRA, user stories, technical specifications, or product/data operating models.
  • Experience supporting regulatory reporting, risk management, operational controls, or AI/ML data readiness.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.