Data Analytics Lead Jobs in Ohio
Data Analytics Lead jobs in Ohio are consistently in demand, with strong hiring concentrated in financial services, healthcare, retail, and manufacturing sectors and openings at every level from analyst-to-lead transitions through senior and principal positions. Columbus, Cleveland, and Cincinnati drive the bulk of hiring, where established employers like JPMorgan Chase, Progressive, and Nationwide have long-standing analytics practices. The most sought-after specialties in Ohio are predictive modeling, business intelligence, and customer analytics. Find a role that fits below and apply directly.
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Showing 5 of 37+ Data Analytics Lead jobs
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.
What You’ll Work On
You’ll collaborate with experienced modelers and analysts on projects such as:
Modeling & Geospatial Analysis
Learn to use modeling software to evaluate catastrophe risk.
Run analyses and identify high-risk catastrophe regions.
SQL & Data Engineering
Update and maintain databases, tables, queries and processes in SQL.
Review, update and maintain data engineering code in Python.
Consolidate and clean up redundant reference tables across multiple databases.
Visualization & Reporting
Create Tableau/Power BI dashboards.
Map wildfire, hurricane, convective storm, and earthquake events for visual insights.
Process Optimization
Help streamline repeatable modeling processes.
Learn and apply Python for automation and data prep tasks.
Collaborate with teams to share tools and insights.
What We’re Looking For
Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.
Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.
Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.
Business Unit:
ReinsuranceBenefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
Excludes seasonal employees and interns.
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.
Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on‑site four days a week, with the flexibility to work one day remotely. Core in‑office days are Tuesday–Thursday, with the fourth day determined by business needs.
What You’ll Work On
You’ll collaborate with experienced modelers and analysts on projects such as:
Modeling & Geospatial Analysis
Learn to use modeling software to evaluate catastrophe risk.
Run analyses and identify high-risk catastrophe regions.
SQL & Data Engineering
Update and maintain databases, tables, queries and processes in SQL.
Review, update and maintain data engineering code in Python.
Consolidate and clean up redundant reference tables across multiple databases.
Visualization & Reporting
Create Tableau/Power BI dashboards.
Map wildfire, hurricane, convective storm, and earthquake events for visual insights.
Process Optimization
Help streamline repeatable modeling processes.
Learn and apply Python for automation and data prep tasks.
Collaborate with teams to share tools and insights.
What We’re Looking For
Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.
Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.
Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.
Business Unit:
ReinsuranceBenefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
Excludes seasonal employees and interns.
See All 37 Data Analytics Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Lead JobsData Analytics Lead Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Analytics Lead Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Accounting & Auditing
- Construction & Real Estate
- Investment & Asset Management
What Ohio Employers Look For
The qualifications that appear most often in data analytics lead jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, mathematics, or a related field
- Five or more years of experience in analytics with at least two years in a lead or supervisory capacity
- Proficiency in SQL, Python, or R alongside visualization tools such as Tableau or Power BI
- Demonstrated ability to translate complex data findings into actionable business recommendations
- Experience leading cross-functional analytics projects and mentoring junior analysts
- Familiarity with cloud data platforms such as Snowflake, AWS, or Azure in an enterprise environment
Data Analytics Lead Jobs in Ohio: Frequently Asked Questions
How do you become a data analytics lead in Ohio?
Data analytics lead roles in Ohio require no state-issued license or registration, so the path runs through education and experience. Most Ohio employers expect a bachelor's degree in a quantitative field such as statistics, computer science, or business analytics, with a master's degree preferred at larger firms. Candidates typically spend several years as an analyst or senior analyst before moving into a lead role, building proficiency in SQL, Python, and a major BI platform along the way.
How much do data analytics leads make in Ohio?
Data analytics leads in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics leads in Ohio?
Employers hiring data analytics leads in Ohio right now include Vertiv, Deloitte, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of large financial services firms, insurance carriers, and integrated health systems means analytics lead roles appear consistently throughout the year rather than only in seasonal bursts.
Which Ohio cities have the most data analytics lead jobs?
Columbus, Cincinnati, and Westerville account for the most data analytics lead openings in Ohio. Columbus leads because it is home to major insurance and financial services headquarters, while Cleveland's strength in healthcare systems and manufacturing analytics and Cincinnati's consumer goods and retail sector bring steady demand across all three metros.
Are there remote data analytics lead jobs in Ohio?
Yes, and more than most fields. Analytics lead work is largely desk-based and deliverable-driven, making it well suited to remote arrangements. About 55% of data analytics lead openings tied to Ohio are remote or hybrid as of September 2026, reflecting how broadly Ohio employers have adopted flexible work for this role. Strategic planning, stakeholder reporting, and model development are the functions most commonly performed fully remotely.
How can I get hired as a data analytics lead in Ohio with little or no experience?
The most realistic entry path is securing an analyst or business intelligence analyst role first, then building toward a lead title from within. Ohio's large healthcare systems, including OhioHealth and Cleveland Clinic, and insurers such as Medical Mutual run structured analytics rotational or associate programs that accept candidates with strong academic backgrounds but limited work history. Building a portfolio of end-to-end projects using publicly available datasets and earning a recognized certification in a BI platform or cloud data tool significantly strengthens applications at this level.
Where can I find and apply to data analytics lead jobs in Ohio?
You can find and apply to data analytics lead jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers actively hiring for this role. Find the roles that fit your background and apply directly without creating a profile or signing up first.
See All 37 Data Analytics Lead Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Analytics Lead Jobs