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Engineering Data Analyst Jobs (NOW HIRING)

AptarGroup

Engineering - Data Analyst Intern

Cary, IL · On-site

$19/hr

Aptar is seeking an Engineering Data Analyst - Intern based in Cary, IL. This position is fully onsite. As a Data Analyst Intern You Will: be part of the North American Regional Technical Center team ...

Ferretti Search

Data Analyst

Concord, NC · On-site

Perform essential data engineering tasks to support your analytical endeavors. * Translate business needs into actionable data analysis and optimization recommendations. * Communicate complex ...

Kaav Inc.

Data Analyst

Austin, TX · On-site

... Material Engineering asset health, department health and data visualization tools. • This ... analyzing engineering data sets; draft reports and make presentations. • 4-7 Experience ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary ... Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High ...

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Engineering Data Analyst information

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$34K

$82.6K

$136K

How much do engineering data analyst jobs pay per year?

As of Jun 2, 2026, the average yearly pay for engineering data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Engineering Data Analyst, and why are they important?

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by Engineering Data Analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.

What is an Engineering Data Analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.
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What states have the most Engineering Data Analyst jobs? States with the most job openings for Engineering Data Analyst jobs include:
Engineering Data Analyst jobs near you
Infographic showing various Engineering Data Analyst job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 7% As Needed, 69% Full Time, 17% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analytics & Engineering - Data Analyst

Data Analytics & Engineering - Data Analyst

Diverse Lynx

Alpharetta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Analytics & Engineering - Data Analyst
Work Location: US - NY - New York
Job Description: Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.
Job Responsibilities:
• Design, plan, and execute data collection studies, working closely with research and product teams to gather high-quality biosensor data.
• Monitor and maintain the quality and integrity of large datasets, implementing robust data validation, cleaning, and quality custom/specialized monitoring processes for multiple sensor streams (IMU, EMG, optical sensors, etc).
• Debug and troubleshoot firmware and software issues related to data collection, ensuring reliable data acquisition from hardware sensors.
• Execute, debug, and optimize distributed compute workflows for metric computation and analysis across large datasets.
• Build, modify, and maintain custom/specialized benchmarking tools, frameworks, and flows for evaluating and comparing model performance on large datasets.
• Generate and test hypotheses and analyze and interpret the results of data collection experiments.
• Leverage data visualization to help the team make decisions.
Skills:
• Experience with hardware sensors, data collection infrastructure, and data analysis pertaining to real-world human data.
• Experience with signal processing pertaining to time domain signals and/or medical imaging systems.
• Experience working with and managing large, high-dimensional datasets.
• 2+ years of experience performing data extraction, manipulation, and visualization using Python and SQL.
• Strong debugging skills, particularly related to data acquisition and firmware/software interfaces.
• Experience with Javascript/Typescript for front-end UI development.
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas.
• Experience with data visualization libraries such as Matplotlib, Pyplot, Seaborn, ggplot2.
Education/Experience:
• Bachelor's or Master of Science degree in computer science, electrical engineering, statistics, neuroscience, biomedical engineering, or other relevant field is required.
MUST Have experience:
coding experience (Python required; SQL strongly preferred)
Some hardware data experience. Sensor data collectionExperience with hardware/sensor data and data collection (e.g., IMU/EMG/optical or similar)
Debugging/troubleshooting ability across software and hardware interfaces, with a focus on data quality and reliability.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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