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Part Time Data Analytics Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

State of Iowa

Data Analyst - Part Time

Des Moines, IA · On-site +1

$30.57 - $47.42/hr

The HHS Data Analyst-1 position is a Part-Time opportunity with a flexible schedule. Work hours ... Knowledge of HR processes or workforce analytics. Understanding of data governance and data quality ...

Ohio University

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Spring 2027; or Fall 2027 (as needed.) Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Position Description * Expert proficiency in common data science tools, including scripted ... programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics ...

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Part Time Data Analytics Engineer information

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$129.7K

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How much do part time data analytics engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for part time data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
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Part Time Data Analytics Engineer jobs near you
Infographic showing various Part Time Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Great American Insurance Group

Cincinnati, OH • On-site

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 hours ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

51st of 278 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.

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