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Part Time Data Analytics Engineer Jobs (NOW HIRING)

Activate Talent

Data Analyst The Data Analyst will work closely with our marketing and leadership teams to evaluate ... This is a part-time role (approx. 20 hours per week) ideal for someone with strong analytical ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Remex, Inc

Data Analyst

Skillman, NJ

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

State of Iowa

Data Analyst - Part Time

Des Moines, IA · On-site +1

$29.97 - $46.49/hr

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

Fora

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

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Part Time Data Analytics Engineer information

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$44.5K

$129.7K

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

As of May 28, 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.

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.

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.
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Part Time Data Analytics Engineer jobs near you

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell's

Richmond, UT • On-site

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 10 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement


Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.

The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.

Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.

Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.

Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.

Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.

Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).

Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query

Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.

Preferred Qualifications

Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.

Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics

Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.

Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.

Pay:
$18.95/hour

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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