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$50.3K

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How much do benchmarking jobs pay per year?

As of Jun 1, 2026, the average yearly pay for benchmarking in California is $79,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $85,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Benchmarking Analyst, you need strong analytical skills, attention to detail, and a background in business, statistics, or related fields. Familiarity with data analysis tools like Excel, SQL, or benchmarking software, as well as certifications such as Six Sigma, are often valuable. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present actionable insights to stakeholders. These skills are crucial for driving performance improvements and maintaining competitiveness by accurately comparing organizational practices against industry standards.

How does a Benchmarking Analyst typically collaborate with other departments to drive performance improvements?

Benchmarking Analysts frequently work cross-functionally, partnering with teams such as operations, finance, and quality assurance to collect data and compare organizational performance against industry standards. They facilitate workshops, share insights, and help identify actionable areas for improvement. This collaborative approach ensures that recommendations are tailored to each department's unique challenges and that initiatives are widely supported and successfully implemented.

What is benchmarking?

Benchmarking is the process of comparing a company's products, services, or processes against those of leading organizations in the industry or best practices from other industries. The goal is to identify areas where improvements can be made to increase efficiency, quality, or competitiveness. Benchmarking often involves collecting data, analyzing performance metrics, and implementing changes based on findings. This strategic approach helps organizations stay competitive and continuously improve their operations.

What is the difference between Benchmarking vs Data Analyst?

AspectBenchmarkingData Analyst
Required credentialsOften requires business or industry-specific certifications, degrees in business, economics, or related fieldsTypically requires degrees in statistics, mathematics, or computer science; certifications like CAP or Microsoft Data Analyst
Work environmentPrimarily in corporate, manufacturing, or consulting settings focusing on performance comparisonIn various industries, working with data sets, reporting, and data visualization tools
Employer and industry usageUsed by organizations to improve processes by comparing against best practicesUsed across industries for data analysis, reporting, and decision-making support

While Benchmarking focuses on comparing organizational performance to industry standards, Data Analysts interpret data to inform business decisions. Both roles require analytical skills but serve different strategic purposes within organizations.

What are popular job titles related to Benchmarking jobs in California? For Benchmarking jobs in California, the most frequently searched job titles are:
What job categories do people searching Benchmarking jobs in California look for? The top searched job categories for Benchmarking jobs in California are:
What cities in California are hiring for Benchmarking jobs? Cities in California with the most Benchmarking job openings:
Benchmarking jobs near you
Infographic showing various Benchmarking job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,334 per year, or $38.1 per hour.

Senior Storage Benchmarking Engineer

Everpure

Santa Clara, CA • On-site

Other

PTO

Posted 21 hours ago

Job description

THE ROLE

The Storage Benchmarking Engineer will design, execute, and analyze performance benchmarks using industry-standard tools like fio, vdbench, SPEC SFS 2020, IO500, MLPerf, and more. This role demands strong end-to-end performance troubleshooting skills across the entire stack (compute, network, and storage), along with collaboration with engineering, product management, marketing, and sales teams. The ideal candidate will have experience engaging with benchmark standards organizations and communities, exceptional communication and writing skills.

WHAT YOU'LL DO

  • Configure HPC lab environment so all systems can achieve maximum efficiency and scale to support a variety of different test harnesses. This includes robust automation to ensure labs can be rapidly configured/reconfigured to meet a variety of different benchmarks. 
  • Design and execute storage performance benchmarks using industry-standard benchmarks, including fio, vdbench, SPEC SFS 2020, IO500, MLPerf, SPC-1/SPC-2 (or similar benchmarks).
  • Perform end-to-end performance troubleshooting and debugging across compute, network, and storage components to pinpoint and resolve bottlenecks and achieve the best possible results.  
  • Develop and maintain automated benchmarking workflows using tools like Ansible, Python, or Bash to ensure rapid provisioning and efficient, repeatable, and reproducible test results.  
  • Analyze benchmark results, generate detailed reports, and provide actionable insights to engineering teams for product optimization.  
  • Collaborate with engineering, product management, marketing, and sales to align benchmarking efforts with product goals and customer needs.  
  • Engage directly with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons) and communities to influence methodologies and stay ahead of industry trends.  
  • Deliver high-impact presentations to internal teams, customers, and external stakeholders, translating complex technical data into clear narratives.  
  • Write technical marketing documents, whitepapers, and performance summaries to support product launches and customer engagement.  
  • Maintain comprehensive documentation of benchmarking processes, configurations, and results.
  • We are primarily an in-office environment and therefore, you will be expected to work from the Santa, Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).  
  • 5+ years of experience in storage performance benchmarking or a related technical role.  
  • Proven expertise with storage benchmarking tools, including:  fio: Flexible I/O tester for workload simulation, vdbench: Versatile storage benchmarking tool for enterprise workloads.  
  • Standard Performance Evaluation Corporation (SPEC) Spec Sfs2020
  • Strong end-to-end performance tuning and troubleshooting skills across the entire stack include compute, network, and storage layers.  
  • Hands-on experience with automation tools (e.g., Python, Ansible, Bash) for test orchestration and data collection.  
  • Demonstrated track record of interfacing with engineering, product management, marketing, and sales teams.
  • Direct engagement with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons etc) and storage benchmarking communities.  
  • Exceptional communication skills, with proven ability to deliver engaging technical briefs and presentations to technical and non-technical audiences.  
  • Strong writing skills, ideally with experience authoring technical marketing documents, whitepapers, or performance summaries.  
  • Proficiency in data analysis and visualization tools (e.g., Python, R, sheets, Excel, Tableau etc).  
  • Deep understanding and hands-on proficiency with enterprise storage technologies (e.g., NVMe, SSDs, and scale up and scale out block/file/object storage, distributed systems).  
  • Experience with Everpure Storage products (e.g., FlashArray, FlashBlade) or similar enterprise block, file and object storage platforms.  
  • Familiarity with cloud storage (e.g., AWS S3, Azure Blob, Google Cloud Storage) or HPC environments.  
  • Knowledge of containerized benchmarking workflows using Docker or Kubernetes.  
  • Prior contributions to benchmark standards or open-source performance tools. 

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