Data And Analytics Jobs
Data And Analytics jobs are open across finance, healthcare, retail, technology, and consulting, from entry-level analyst to director and principal, with specializations in business intelligence, data engineering, and machine learning. Find a role that fits below and apply directly.
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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.
Data And Analytics Jobs by Experience Level
Top Cities Hiring Data And Analyticss
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Find Data And Analytics JobsData And Analytics Job Market
Who's Hiring
- CoStar29
- JPMorganChase21
- PNC Financial Services21
- American Express18
- Amazon16
Top Industries Hiring
- Technology & Software18
- Education5
- Insurance5
- Consulting & Professional Services5
- Energy4
What Employers Look For
The qualifications that appear most often in data and analytics jobs.
- Proficiency in SQL for querying and transforming relational data
- Experience with Python or R for data analysis and automation
- Hands-on work with BI tools such as Tableau, Power BI, or Looker
- Familiarity with cloud data platforms like Snowflake, BigQuery, or Redshift
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Ability to communicate data findings clearly to non-technical stakeholders
Tips for Your Data And Analytics Job Search
Quantify impact on your resume
Hiring managers in data and analytics want numbers, not job duties. Replace phrases like 'built dashboards' with outcomes: how many stakeholders used the report, how much time it saved, or what decision it informed. Vague descriptions get screened out fast.
List your tools and stack clearly
Applicant tracking systems scan resumes for specific tool names like SQL, Python, Tableau, dbt, Snowflake, or Spark. Put your full technical stack in a dedicated skills section so it's visible to both the ATS and the hiring manager without burying it in bullet points.
Apply early to roles that fit
Migrate Mate lists data and analytics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your application to the business domain
A data analyst role at a fintech company and one at a hospital system use very different data and measure very different outcomes. Mirror the industry's language in your resume and cover letter to show you understand the domain, not just the tooling.
Prepare a case-style technical interview
Many data and analytics roles include a live SQL or Python exercise plus a business case where you interpret ambiguous data and recommend an action. Practice writing clean, readable queries under time pressure and explaining your analytical reasoning out loud, not just arriving at the right answer.
Negotiate using role-level benchmarks
Before your offer conversation, research what the Bureau of Labor Statistics reports for your occupation and level, and check what comparable companies in the same industry are posting in their job descriptions. Come with a specific range tied to your scope and tools, not a gut number.
Data And Analytics Jobs: Frequently Asked Questions
Which companies are hiring the most data and analyticss?
The most active employers for data and analyticss right now are CoStar, JPMorganChase, and PNC Financial Services, and the most openings are in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in industries with large transaction volumes, including finance, healthcare, and retail.
How many data and analytics jobs are remote?
About 73% of data and analytics openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible fields in tech. Roles focused on analytics engineering, business intelligence development, and data science tend to have the highest remote availability, while positions requiring close collaboration with operations or clinical teams are more likely to be on-site.
How do you become a data and analytics?
Start by building foundational skills in SQL and either Python or R, then work through real datasets to practice cleaning, analyzing, and visualizing data. Completing a portfolio project that solves an actual business question is more useful than certifications alone. Target entry-level analyst or junior data roles, and use each job to expand your stack into tools like dbt, Airflow, or a cloud data warehouse.
How do you get hired in data and analytics with little experience?
Build a public portfolio on GitHub with two or three projects that use real or publicly available datasets and tell a clear analytical story. Apply for roles titled junior analyst, associate data analyst, or reporting analyst, which are explicitly designed for candidates without extensive experience. Emphasize your SQL skills and any coursework or self-directed work where you drew a business conclusion from data rather than just processed it.
What does the data and analytics interview process look like?
Most processes start with a recruiter screen, followed by a hiring manager conversation focused on your analytical background and how you've influenced decisions with data. A technical round typically involves a SQL or Python exercise and sometimes a take-home case study. Final rounds often include a stakeholder or cross-functional interview where you present your findings and defend your methodology to a non-technical audience.
Where can I find and apply to data and analytics jobs?
You can find and apply to data and analytics jobs on Migrate Mate, which lists current openings from across the United States. Search by role type, location, or experience level to find positions that match your background, then apply directly to each listing from the page.
See All 1,209+ Data And Analytics Jobs
Find roles that match your experience and apply in just a few clicks.
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