Mid Level Analysis Engineer Jobs

Mid level analysis engineer jobs go to engineers ready to own analytical workstreams end to end, translate complex data into decisions, and guide junior teammates without close supervision. Openings are distributed across on-site, remote, and hybrid settings in Electronics & Hardware, Technology & Software, and Energy, with employers like Apple, NVIDIA, and Qualcomm hiring at this level now.

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Overview

Open roles30
Top stateCalifornia
Top employerApple
Top citySan Diego, CA
Work type94% On-site
Top industryElectronics

Showing 5 of 30+ Mid Level Analysis Engineer jobs

Piping Stress Analysis Engineer
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Piping Stress Analysis Engineer
Ursus, Inc.
Robstown, Texas
Specialized Engineering
Mechanical Engineering
Engineering (Non-Software)
$60.00 - $70.00/hr
On-Site
Bachelor's

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Distribution Modeling & Analysis Engineer-Senior
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Distribution Modeling & Analysis Engineer-Senior
American Electric Power
New Albany, Ohio
Specialized Engineering
Data Science & Analytics
Engineering (Non-Software)
Data Science
Data Analytics
$88k - $129k/yr
On-Site
Bachelor's
10,000+

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Sr. Engineer – DRAM Failure Analysis
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Sr. Engineer – DRAM Failure Analysis
Micron Technology
Boise, Idaho
Business Operations
Business Strategy
Project Management
Bachelor's degree in electrical engineering
10,000+

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Graphics (GPU) Performance Analysis Engineer
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Graphics (GPU) Performance Analysis Engineer
Apple
Austin, Texas
Specialized Engineering
Data Science & Analytics
Engineering (Non-Software)
Data Science
Data Analytics
On-Site
Bachelor's
10,000+

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Graphics (GPU) Performance Analysis Engineer
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Graphics (GPU) Performance Analysis Engineer
Apple
Santa Clara, California
Software Engineering
Data Science & Analytics
Backend Engineering
$150k - $278k/yr
On-Site
Bachelor's
10,000+

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Mid Level Analysis Engineer Job Market

Who's Hiring

Apple3 open roles
NVIDIA2 open roles
Qualcomm2 open roles

Top Industries Hiring

  • Electronics & Hardware11
  • Technology & Software10
  • Energy2
  • Telecommunications2
  • Aerospace & Defense2

Mid Level Analysis Engineer Jobs: Frequently Asked Questions

How do I get a mid level analysis engineer job?

Position yourself around ownership, not just contribution. Highlight projects where you led the analytical approach, defined the methodology, or delivered findings that influenced a business decision. Emphasize proficiency with tools like SQL, Python, or R alongside domain knowledge relevant to the role. Tailor your resume to show measurable outcomes, and be ready to discuss trade-offs you navigated without heavy guidance from senior engineers.

Which companies hire mid level analysis engineers?

Companies hiring mid level analysis engineers right now include Apple, NVIDIA, and Qualcomm, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large enterprises with dedicated analytics teams and mid-size organizations where engineers own broader scope across the analytical function.

Are there remote mid level analysis engineer jobs?

Yes, though availability varies by industry and employer. About 6% of mid level analysis engineer openings are remote or hybrid as of November 2026, reflecting strong demand for engineers who can collaborate across distributed teams. Roles in software, consulting, and financial services tend to offer the most flexibility at this level.

How do I move up to a mid level analysis engineer role?

Moving from entry level to mid level takes deliberate depth-building over your first few years. Focus on owning entire analyses rather than completing assigned tasks, develop fluency in at least one programming language and one domain area, and seek out projects where your work directly informs decisions. Demonstrating consistent, measurable impact, rather than just technical competence, is what signals readiness for a mid level title.

Which industries hire the most mid level analysis engineers?

Mid Level analysis engineer roles concentrate in Electronics & Hardware, Technology & Software, and Energy, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they generate large volumes of operational or behavioral data that require engineers who can independently structure, analyze, and present findings to cross-functional stakeholders.