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Benchmarking Analyst Jobs (NOW HIRING)

Clarivate is seeking a Strategic Advisor, Benchmarking to support the CMR International (CMR) team ... Demonstrated ability to translate data into high-impact industry analysis, with a portfolio of ...

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Benchmarking Analyst information

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How much do benchmarking analyst jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for benchmarking analyst in the United States is $38.97, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $44.23 per hour, 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, finance, or data analysis, often supported by a relevant degree. Proficiency with data analytics tools such as Excel, SQL, Tableau, or benchmarking software, along with knowledge of industry standards, is typically required. Effective communication, critical thinking, and problem-solving abilities are essential soft skills for interpreting data and presenting actionable insights. These skills ensure accurate performance comparisons, informed decision-making, and continuous improvement within organizations.

What are Benchmarking Analysts?

Benchmarking Analysts are professionals who evaluate an organization's processes, performance metrics, or products against industry standards or best practices. Their main role is to identify gaps, opportunities for improvement, and strategies to enhance efficiency and competitiveness. They collect and analyze relevant data, prepare detailed reports, and often collaborate with various departments to implement recommendations. By providing insights into how a company compares to its peers, Benchmarking Analysts help drive continuous improvement and informed decision-making.

How does a Benchmarking Analyst typically collaborate with other departments to drive organizational improvement?

A Benchmarking Analyst works closely with various departments—such as operations, finance, and HR—to gather data, understand internal processes, and compare performance metrics against industry standards. This collaboration often involves facilitating workshops, presenting findings, and recommending actionable strategies to bridge performance gaps. By maintaining open communication and fostering cross-functional partnerships, Benchmarking Analysts help ensure that insights are implemented effectively, driving continuous organizational improvement.

What is the difference between Benchmarking Analyst vs Data Analyst?

AspectBenchmarking AnalystData Analyst
Required CredentialsBachelor's in Business, Economics, or related field; certifications like CBAP or Six SigmaBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data certifications
Work EnvironmentCorporate or consulting firms focusing on performance comparison and industry standardsVarious industries including finance, healthcare, marketing, analyzing data sets
Employer & Industry UsageUsed by companies to benchmark performance against competitors or standardsUsed across industries for data-driven decision making and reporting

The Benchmarking Analyst primarily focuses on comparing company performance against industry standards to identify improvement areas, often working with industry-specific data. In contrast, Data Analysts handle broader data analysis tasks across various sectors, focusing on interpreting data to support business decisions. While both roles require analytical skills and similar certifications, their core functions and industry applications differ.

More about Benchmarking Analyst jobs
Infographic showing various Benchmarking Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $81,051 per year, or $39 per hour.
Quantum Scientist - Time-to-Solution & Benchmarking

Quantum Scientist - Time-to-Solution & Benchmarking

QuEra Computing, Inc.

Albuquerque, NM • On-site

Full-time

Posted 3 days ago


Job description

Summary
QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads.
Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA's Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight.
Qualifications
  • 5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems.
  • Strong background in quantum information science, computational physics, or a closely related quantitative discipline.
  • Proficiency in numerical modeling and data analysis using Python or Julia.
  • Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models.
  • Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.

Preferred Qualifications
  • Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
  • Experience developing or using abstracted error and performance models to evaluate system- and algorithm-level behavior.
  • Prior participation in federally funded research programs (e.g., DARPA, DOE) or large collaborative research efforts.
  • Track record of publications or technical contributions related to system-level performance analysis or benchmarking.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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