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Benchmarking Analyst Jobs (NOW HIRING)

Research and Benchmarking: As needed on an ad hoc basis, undertake research projects and benchmarking analysis on ESG-related topics and themes. * Process Improvement: Identify opportunities for ...

Research and Benchmarking: As needed on an ad hoc basis, undertake research projects and benchmarking analysis on ESG-related topics and themes. * Process Improvement: Identify opportunities for ...

Run the benchmarks and analyze the results. * Work with engineering and developer relations to ... Familiarity with benchmarking in Linux VM and containerized environments. * Experience writing ...

Perform deep-dive benchmarking analysis to ensure Michaels' programsremaincompetitive. * Oversee the work of co-sourcing partner (TCS)regardingretirement processes, including audit of completed work ...

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How much do benchmarking analyst jobs pay per hour?

As of Jun 11, 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 jobs pay $2000 a day?

Benchmarking Analysts typically do not earn $2000 a day; such high daily rates are more common in specialized consulting, executive-level roles, or freelance professionals with niche expertise. High-paying roles often require extensive experience, advanced skills, or certifications, and may involve project-based or contract work. Most standard jobs pay less than this amount daily, but top-tier consultants or contractors in certain industries can reach or exceed this level with the right client base and reputation.

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.

What job makes $10,000 a month without a degree?

A Benchmarking Analyst typically earns less than $10,000 a month without a degree, as high salaries in this field usually require extensive experience or advanced certifications. However, some sales, real estate, or entrepreneurial roles can reach or exceed this income level through commissions and business success, often without formal degrees but requiring strong skills and industry knowledge.

What jobs pay 500,000 a year in the US?

Benchmarking Analysts typically do not earn $500,000 annually; such high salaries are usually associated with executive roles like CEOs, investment bankers, or specialized surgeons. High compensation in these fields often depends on experience, performance, and industry, with some top executives and professionals earning over that amount through bonuses and stock options.

What does a benchmarking analyst do?

A benchmarking analyst evaluates a company's processes, performance, and practices by comparing them to industry standards or competitors. They collect and analyze data using tools like spreadsheets and specialized software to identify areas for improvement and support strategic decision-making.
More about Benchmarking Analyst jobs
Infographic showing various Benchmarking Analyst job openings in the United States as of June 2026, with employment types broken down into 8% Locum Tenens, 1% As Needed, 65% Full Time, 1% Part Time, 3% Temporary, and 22% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $81,051 per year, or $39 per hour.
Actuary - Actuarial Analytics / Actuarial Engineering

Actuary - Actuarial Analytics / Actuarial Engineering

Acunor Infotech

San Ramon, CA • Hybrid

Other

Posted 2 days ago


Job description

Job Title: Actuary Actuarial Analytics / Actuarial Engineering

Location: Hybrid San Ramon, CA preferred (Open to other client office locations)

Work Model: Hybrid Minimum 3 days/week onsite

Employment Type: Full-Time

Salary: Depends on Experience, credentials and location of work.

Role Overview

We are seeking an experienced Actuary with strong actuarial analytics and actuarial engineering expertise. The ideal candidate will combine deep actuarial knowledge with modern analytics and technology skills, including Python, cloud/data platforms, and large-scale data analysis.

This role will focus on building, validating, and operationalizing actuarial models across commercial insurance lines while translating complex analytical outputs into actionable business insights for leadership and client-facing stakeholders.

Key Responsibilities

  • Design, build, and validate actuarial and statistical models for pricing, portfolio analytics, benchmarking, and risk analysis
  • Develop actuarial model libraries across commercial insurance domains including:
  • D&O
  • Cyber
  • General Liability
  • Professional Liability
  • Property
  • Employee Benefits
  • Build models for:
  • Frequency & severity analysis
  • Loss development
  • Layer pricing
  • Limit adequacy
  • TCOR
  • Benchmarking analytics
  • Translate actuarial outputs into executive-ready presentations and business recommendations
  • Partner with data engineering and analytics teams to operationalize actuarial models into scalable solutions
  • Maintain model validation, documentation, auditability, and quality standards
  • Support advisory, pricing, placement, and renewal workflows

Required Skills

  • 7+ years of actuarial experience
  • 3+ years within commercial lines insurance, brokerage, carrier, or consulting environments
  • Strong hands-on Python experience for actuarial modeling and statistical analysis
  • Experience building actuarial models beyond Excel
  • Experience working with large datasets including claims, policy, exposure, pricing, and benchmarking data
  • Familiarity with Databricks, Azure, or similar cloud/data platforms
  • Understanding of SDLC concepts including version control, testing, and documentation
  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related quantitative field

Preferred Qualifications

  • FCAS or ACAS preferred
  • Brokerage analytics experience
  • Strong understanding of pricing, placement, benchmarking, and renewal analytics
  • Ability to communicate actuarial insights to executive and non-technical stakeholders
  • Experience collaborating with actuarial, engineering, analytics, and advisory teams

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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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