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Data Analysis Engineer Jobs (NOW HIRING)

Amphenol TCS

Failure Analysis Engineer

Nashua, NH · On-site

Create a failure analysis process and database to capture historical data and utilize for future ... Work with engineers from other disciplines to help with root cause * Process and analyze testing ...

Amphenol TCS

Failure Analysis Engineer

Nashua, NH · On-site

Create a failure analysis process and database to capture historical data and utilize for future ... Work with engineers from other disciplines to help with root cause * Process and analyze testing ...

RUAG

Analysis Engineer

Trinity, AL · On-site

Analysis Engineer Challenge the Impossible About Beyond Gravity Headquartered in Zurich ... Apply MATLAB for data analysis and modeling. * Demonstrate proficiency in classical analysis ...

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Data Analysis Engineer information

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$44.5K

$129.7K

$177.5K

How much do data analysis engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analysis 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 data analysis engineer do?

A Data Analysis Engineer is responsible for collecting, processing, and interpreting large sets of data to help organizations make informed decisions. They design and implement data pipelines, use statistical and analytical techniques, and create visualizations to uncover trends and insights. Data Analysis Engineers often work closely with data scientists, software engineers, and business stakeholders to ensure the accuracy and usefulness of data-driven solutions. Their work is crucial for optimizing processes and driving business growth.

What are the key skills and qualifications needed to thrive as a data analysis engineer?

To thrive as a Data Analysis Engineer, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with data analysis tools such as Python, R, SQL, and experience with platforms like Tableau or Power BI, as well as knowledge of big data frameworks, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret data and present insights clearly to stakeholders. These technical and soft skills are essential for extracting actionable insights from complex data sets and driving data-informed decision-making within organizations.

How does a data analysis engineer typically collaborate with software development and business teams?

Data Analysis Engineers often act as a bridge between technical and business teams. They work closely with software developers to ensure data pipelines and analytical tools are robust and scalable, while also partnering with business stakeholders to translate data insights into actionable strategies. Regular meetings, cross-functional projects, and clear documentation are common practices to facilitate effective collaboration. This collaborative environment not only fosters innovation but also ensures that analytical solutions align with organizational goals.

What are popular job titles related to Data Analysis Engineer jobs?

For Data Analysis Engineer jobs, the most frequently searched job titles are:

Data Analysis Engineer jobs near you

Senior Cyber Data Analysis Engineer

Springfield, VA • On-site

Abile Group, Inc
IT Services • 11 - 50 employees
Learn more about Abile Group, Incexternal

$80 - $100/hr

Other

Posted 7 days ago

Job description

Abile Group, Inc is searching for a Cyber Data Analysis Engineer in Springfield, Virginia. This position involves providing cybersecurity services to an Intelligence Community customer. Candidates must possess strong technical skills alongside a TS/SCI clearance and the ability to manage system maintenance and resolve issues independently.

The ideal candidate will have a Bachelor's degree in a technical field, at least 5 years of relevant experience, along with advanced Linux skills and a self-directed work ethic. Certification requirements include IAT II and CSSP Infrastructure Support.

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