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Performance Predictions Jobs (NOW HIRING)

ERC Inc.

Chemist

Huntsville, AL · On-site

May use software to analyze test data and make propulsion system performance predictions. May design, plan, and perform on a variety of different systems including facilities and structures used for ...

Kalshi Inc

Performance Marketing - Google

New York, NY · On-site

$150K - $215K/yr

We believe prediction markets have the potential to be the largest financial market because they ... Analyze performance data and identify opportunities to improve conversion rates, customer ...

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$11

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$69

How much do performance predictions jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for performance predictions in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

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

To thrive as a Performance Analyst, you need strong analytical skills, a background in statistics or data science, and a relevant degree in fields like mathematics, economics, or business. Proficiency in data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills in this role. These competencies ensure accurate data interpretation, actionable insights, and clear reporting that drive organizational improvement.

What is the most popular predictor of job performance?

The most popular predictor of job performance is cognitive ability or intelligence, which correlates strongly with job success across many roles. Other important predictors include work experience, technical skills, and personality traits such as conscientiousness. Employers often use assessments, interviews, and reference checks to evaluate these factors during hiring.

What job is most in demand right now?

Performance prediction roles are increasingly in demand across industries such as finance, marketing, and technology, where data analysis and forecasting skills are essential. These jobs often require proficiency in statistical tools, machine learning, and data visualization, with many positions available in both corporate and consulting environments.

What jobs are predicted to grow in the next 10 years?

Performance prediction roles are expected to grow as organizations increasingly rely on data analytics and machine learning to optimize operations. Jobs in data science, AI development, and related fields are projected to see significant growth, often requiring skills in programming, statistical analysis, and familiarity with tools like Python or R. These roles support decision-making and process improvements across various industries over the next decade.

What are some common challenges faced by professionals in Performance Predictions roles, and how can they overcome them?

Professionals working in Performance Predictions often encounter challenges such as managing large and complex datasets, ensuring the accuracy of predictive models, and effectively communicating findings to non-technical stakeholders. To overcome these challenges, it's important to stay current with modeling techniques, invest time in data cleaning and validation, and develop strong communication skills to translate technical insights into actionable business recommendations. Collaboration with cross-functional teams, like data engineers and business analysts, is also key to refining models and integrating predictions into strategic decision-making.

What is the difference between Performance Predictions vs Data Analysts?

AspectPerformance PredictionsData Analysts
Required credentialsTypically requires data analysis skills, statistical knowledge, and sometimes certifications in predictive modelingRequires strong analytical skills, proficiency in data manipulation, and often degrees in statistics, mathematics, or related fields
Work environmentOften involves working with forecasting models, predictive algorithms, and cross-department collaborationFocuses on data collection, cleaning, analysis, and reporting within various industries
Employer and industry usageUsed in finance, marketing, supply chain, and tech sectors for forecasting and decision-makingCommon across finance, healthcare, marketing, and business sectors for data-driven insights

Performance Predictions and Data Analysts both work with data, but Performance Predictions specializes in forecasting future outcomes using predictive models, while Data Analysts focus on analyzing historical data to generate reports and insights. Understanding these differences helps employers and job seekers target the right skills and roles.

What are performance predictions?

Performance predictions refer to the process of forecasting how well an individual, system, or organization will perform in the future based on current and historical data. In the context of jobs or business, it often involves using statistical models, data analysis, and sometimes machine learning to estimate outcomes such as sales, productivity, or employee performance. These predictions help organizations make informed decisions about resource allocation, hiring, and strategy. Accurate performance predictions can improve planning and reduce risks by identifying potential issues before they arise.

Which jobs will boom in the future?

Performance prediction roles are expected to grow as companies increasingly rely on data analytics and machine learning to optimize employee performance. Skills in data analysis, programming, and understanding of HR metrics are valuable in this field, which supports workforce planning and talent management. These roles are often found in technology-driven industries and require familiarity with predictive modeling tools.
More about Performance Predictions jobs
What job categories do people searching Performance Predictions jobs look for? The top searched job categories for Performance Predictions jobs are:
Performance Predictions jobs near you
Infographic showing various Performance Predictions job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.
Lead CPU Performance Analysis Engineer

Lead CPU Performance Analysis Engineer

Qualcomm

Vancouver, WA • On-site

$242K - $363K/yr

Full-time

Posted 7 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 205 rated software companies

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > SoC Architecture
General Summary:
As a Lead CPU Performance Analysis Engineer, you will be working on CPU performance analysis and tuning, microbenchmark development, workload characterization, workload tracing, and performing competitive performance analysis using industry standard benchmarks and workloads.
Roles and Responsibilities
  • Collect CPU performance data for various workloads and benchmarks
  • Conduct detailed workload characterization on silicon and performance simulators
  • Profile workload execution and identify avenues for improving workload performance in software (OS, Libraries, Frameworks) and hardware
  • Develop tools and techniques to collect representative workload traces to feed the CPU performance simulator
  • Create micro-benchmarks to understand performance characteristics of competitor's CPU / SoC
  • Build competitive performance prediction models
  • Present the competitive performance data in a concise manner

Minimum Skills/Experience
  • Strong grasp of computer architecture and OS fundamentals
  • Strong scripting skills -- Bash / Perl / Python
  • Proficiency in C / C++ / x86, ARM compatible assembly language
  • Familiarity with CPU performance models

Minimum Qualifications:
• Bachelor's degree in Electrical Engineering, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
OR
Master's degree in Electrical Engineering, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
OR
PhD in Electrical Engineering, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
• 2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).
Preferred qualifications
  • Master's degree or PhD in Electrical Engineering, Computer Engineering / Science with 10+ years of relevant work experience
  • Experience with hardware performance profiling tools (such as Vtune, perf), binary instrumentation tools (such as DynamoRio, PIN)
  • Experience with characterizing industry standard benchmarks (e.g. CPU2017, GeekBench, AnTuTu, Speedometer) and workloads such as Memcached, NGINX, Redis, DCPerf
  • Experience in writing micro-benchmarks to measure performance characteristics of a CPU / SoC
  • Prior experience in developing trace collection tools and using same to trace workloads to feed the CPU performance simulators
  • Experience with CPU performance simulators / analytical models
  • Experience in OS internals (Windows / Linux / Android), system programming and Compilers (GCC, LLVM, JIT)
  • Knowledge of the competitive landscape, feature specifications and industry trends in the server and client domain

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$242,300.00 - $363,500.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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