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Mechanical Engineer Data Analyst Jobs (NOW HIRING)

... Engineer/Data Analyst (W-2 Contract / No Agencies) We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and ...

... Engineer/Data Analyst (W-2 Contract / No Agencies) We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and ...

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Mechanical Engineer Data Analyst information

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$45.5K

$102.9K

$166.5K

How much do mechanical engineer data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for mechanical engineer data analyst in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mechanical Engineer Data Analyst, and why are they important?

To thrive as a Mechanical Engineer Data Analyst, you need a solid background in mechanical engineering principles, data analysis, and a relevant engineering degree. Familiarity with CAD software, data analysis tools like MATLAB or Python, and experience with databases or statistical software are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this hybrid role. These competencies enable professionals to extract actionable insights from engineering data, driving innovation and efficiency in mechanical systems.

How do Mechanical Engineer Data Analysts typically collaborate with cross-functional teams in an engineering project?

Mechanical Engineer Data Analysts frequently work alongside design engineers, manufacturing teams, and quality assurance professionals to interpret and present data that informs design decisions and optimizes processes. They often participate in project meetings to translate complex data findings into actionable engineering insights, ensuring that teams are aligned on performance metrics and improvement opportunities. This collaborative approach not only supports project goals but also enhances communication across departments, making data-driven decision-making a core part of the engineering workflow.

What is a Mechanical Engineer Data Analyst?

A Mechanical Engineer Data Analyst is a professional who combines expertise in mechanical engineering with data analysis skills to interpret and utilize data related to mechanical systems and processes. They collect, analyze, and visualize data to optimize designs, improve system performance, and support decision-making in engineering projects. This role often involves using specialized software and programming languages to process large datasets, conduct simulations, and identify trends or inefficiencies. Mechanical Engineer Data Analysts play a crucial role in industries such as manufacturing, automotive, aerospace, and energy by helping organizations leverage data for improved engineering outcomes.
More about Mechanical Engineer Data Analyst jobs
What cities are hiring for Mechanical Engineer Data Analyst jobs? Cities with the most Mechanical Engineer Data Analyst job openings:
What states have the most Mechanical Engineer Data Analyst jobs? States with the most job openings for Mechanical Engineer Data Analyst jobs include:
Infographic showing various Mechanical Engineer Data Analyst job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 40% Full Time, 52% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.
Analytics Engineer/Data Analyst

Analytics Engineer/Data Analyst

OpTech

East Lansing, MI โ€ข On-site, Remote

Other

Medical, Dental, Retirement

Posted 5 days ago


Job description

Analytics Engineer/Data Analyst (W-2 Contract / No Agencies)

We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. The analyst will work across the full data lifecycleโ€”from transforming raw data into analytics-ready datasets to enabling business insights through Tableau. This role requires hands-on experience with modern data stack tools and the ability to convert complex business requirements into structured, reliable data models.ย 

Success in this position requires strong SQL skills, experience with dbt-based data modeling, and the ability to work within Snowflake-based environments. The individual should be comfortable supporting end-to-end data workflows, including pipeline development, validation, and Tableau integration. Success also requires strong analytical thinking, attention to data quality, and the ability to bridge business and technical perspectives. The individual will also provide documentation, support validation of outputs, and contribute to adoption of scalable data solutions across the organization.ย 

There is no relocation assistance for this position. This includes reimbursement for travel expenses incurred to and from test sessions/interviews. We are looking for W-2, local candidates.

OpTech is a woman-owned company that values your ideas, encourages your growth, and always has your back. When you work at OpTech, not only do you get health and dental benefits, but you also have training opportunities, flexible/remote work options, growth opportunities, 401K and competitive pay. Apply today!

By submitting your application, you acknowledge that recruiting technologies, including AI-assisted tools, may be used to support candidate evaluation, sourcing, matching, and communications.