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Part Time Data Analytics Engineer Jobs (NOW HIRING)

Brevium

Data Analyst Assistant

American Fork, UT · On-site

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Brevium

Data Analyst Assistant

American Fork, UT

$20 - $22/hr

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$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 ...

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 ...

Wisconsin

Research Data Engineer

Madison, WI

$82K/yr

This position is full or part-time, 80%-100%. * This position may require some work to be performed ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

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Part Time Data Analytics Engineer information

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

As of Aug 18, 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 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.

What are the key skills and qualifications needed to thrive as a part time data analytics engineer?

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.

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 August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analyst Assistant

Brevium

American Fork, UT • On-site

$20 - $22/hr

Part-time

Re-posted 11 days ago

Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.

Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.

Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.

Working Hours:
• 20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr

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