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Part Time Data Analytics Instructor Jobs in Ohio

Booz Allen Hamilton, Inc.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

Share Data Analyst The Opportunity: The Data Analyst will work with a team to provide high-quality ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Analytics Instructor information

What is the difference between Part Time Data Analytics Instructor vs Part Time Data Science Tutor?

AspectPart Time Data Analytics InstructorPart Time Data Science Tutor
Required CredentialsBachelor's degree in Data Analytics, Statistics, or related field; teaching experience preferredBachelor's or Master's in Data Science, Computer Science, or related; tutoring experience
Work EnvironmentEducational institutions, online platforms, training centersOnline platforms, private tutoring, educational websites
Employer & Industry UsageUniversities, coding bootcamps, online course providersOnline tutoring platforms, private clients, educational companies

While both roles involve teaching data-related skills, the Part Time Data Analytics Instructor focuses on teaching analytics concepts and tools in educational settings, whereas the Part Time Data Science Tutor emphasizes personalized instruction in broader data science topics, often in one-on-one sessions.

What are Part Time Data Analytics Instructors?

Part Time Data Analytics Instructors are professionals who teach students the fundamentals and advanced concepts of data analytics, usually on a part-time basis. They create lesson plans, deliver lectures, and provide hands-on guidance in analyzing data, using tools like Excel, SQL, Python, or R. These instructors may work for colleges, universities, bootcamps, or online learning platforms, often teaching evenings or weekends to accommodate working students. Their role is essential in helping learners develop practical data analysis skills for careers in various industries.

What are the key skills and qualifications needed to thrive as a Part Time Data Analytics Instructor, and why are they important?

To thrive as a Part Time Data Analytics Instructor, you need a solid background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and professional experience. Mastery of tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of online learning management systems, is typically required. Strong communication, patience, and the ability to engage and motivate diverse learners are critical soft skills. These competencies ensure instructors can effectively teach complex concepts, support student success, and adapt to different learning needs.

What are some common challenges faced by part-time Data Analytics Instructors, and how can they be addressed?

Part-time Data Analytics Instructors often face the challenge of balancing their teaching responsibilities with other professional or personal commitments. Managing time effectively is crucial, as is staying up-to-date with industry trends to provide relevant and engaging content. Additionally, instructors may need to adapt their teaching style to accommodate students with varying levels of experience. Building a supportive classroom environment and leveraging available resources from the institution can help address these challenges and ensure a rewarding teaching experience.
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Part Time Data Analytics Instructor jobs near you

Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Great American Insurance Group

Cincinnati, OH

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance

Job description

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.

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.

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:

Reinsurance

Benefits:

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.

What Great American Insurance Group employees say

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Benefits

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