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Regression Analysis Jobs (NOW HIRING)

coringroup

Clinical Research and Data Engineer

Raynham, MA · On-site

$80K - $150K/yr

Data analysis and visualization, statistical testing, regression analysis, machine learning and deep learning model development and evaluation * Contribute to modelling and analysis of: * 3D computer ...

TriOptus LLC

UX Researcher- Quant

Jersey City, NJ · On-site

Our Quant UXRs use methods and tools that include survey research, in-product intercepts, behavioral analytics, regression analysis, and logs analysis. You possess a deep knowledge of how to gather ...

Further

Data Science Analyst

Cleveland, OH · On-site

... regression analysis, and experimental design. • Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. Preferred : • ...

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How much do regression analysis jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for regression analysis in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $37.02 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the field of regression analysis, highly experienced data scientists, quantitative analysts, or senior statisticians working in finance, hedge funds, or large tech firms can reach or exceed a million dollars annually through base salary, bonuses, and profit sharing. These roles typically require advanced skills in statistical modeling, programming, and domain expertise, often with advanced degrees and extensive experience. Compensation at this level is usually associated with senior or executive positions in high-paying industries.

What are the key skills and qualifications needed to thrive in the Regression Analysis position, and why are they important?

Excelling in Regression Analysis requires a solid background in statistics, mathematics, and data interpretation, typically supported by a degree in statistics, mathematics, data science, or a closely related field. Familiarity with analytical tools and programming languages such as R, Python, SAS, or SPSS, and knowledge of data visualization platforms are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills enable clear presentation of complex findings to diverse stakeholders. These competencies are vital for drawing reliable predictive insights, shaping data-driven business decisions, and collaborating seamlessly within multidisciplinary teams.

What is a Regression Analysis job?

A Regression Analysis job involves analyzing data to identify relationships between variables and make predictions. Professionals in this field use statistical techniques, such as linear and logistic regression, to interpret trends and patterns. They often work with large datasets, using tools like Python, R, or Excel to build models that support business decisions. These roles are common in industries like finance, healthcare, and marketing, where data-driven insights are crucial.

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

In the field of regression analysis, senior data scientists, quantitative analysts, and analytics directors with extensive experience and advanced skills can earn salaries approaching or exceeding $500,000 annually, especially in finance, technology, or consulting firms. These roles often require strong statistical knowledge, programming skills, and advanced degrees, and may include bonuses and profit sharing that contribute to total compensation.

What jobs use regression analysis?

Regression analysis is used in a variety of jobs including data analysts, statisticians, financial analysts, marketing analysts, and data scientists. These roles involve building models to forecast trends, analyze relationships, and support decision-making using statistical software like R or Python. Strong analytical skills and understanding of statistical concepts are essential in these positions.

What are the typical responsibilities and challenges faced by professionals specializing in regression analysis?

Professionals in regression analysis are primarily responsible for collecting and cleaning data, selecting appropriate statistical models, running regression tests, and interpreting results for actionable insights. One of the key challenges in this role is ensuring the accuracy and validity of models when handling large, complex, or incomplete datasets, as well as communicating technical outcomes to non-technical stakeholders. These roles often involve close collaboration with data scientists, business analysts, and decision-makers to tailor analyses to specific organizational needs. By translating data patterns into understandable recommendations, regression analysts play a vital role in supporting company strategy and operational improvements.

What jobs pay 200,000 a year in the USA?

In the field of regression analysis, senior data scientists, quantitative analysts, and analytics managers often earn $200,000 or more annually, especially with advanced skills in statistical modeling, programming, and experience. These roles typically require a strong background in statistics, machine learning, and tools like R or Python, and may involve leadership responsibilities or working in finance, technology, or consulting industries.
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Regression Analysis jobs near you
Infographic showing various Regression Analysis job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $67,422 per year, or $32.4 per hour.

AFSIM Analyst

Systems Planning and Analysis

Quantico, VA • On-site

Full-time

Posted 11 days ago

Job description

Overview

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.  

The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.

Group W provides wargaming, warfare modeling and simulation, software development, data analytics, and operations research/system analysis support to the national security mission. As a leader in the fields of campaign, mission, and wargaming analysis we embrace the cycle of research paradigm, continually seeking to improve the multi-method application of tools, data, methods, and techniques to generate credible and resilient insights to inform decisions on the Department's most challenging issues spanning CONOPs, acquisitions, force structures, tactics, and strategies. Group W is the developer and maintainer of the Synthetic Theater Operations Research Model (STORM), the authoritative M&S tool accepted by the Joint Analytic Community for analysis of theater-level, multi-domain, joint warfare. Similarly, we developed and manage the Standard Wargame Integration and Facilitation Tool (SWIFT) for OSW as an adaptable environment to support joint force combatants' wargaming requirements.

We have an immediate need for an AFSIM Analyst to provide onsite support in Quantico, VA.

Responsibilities

The AFSIM Analyst will apply advanced analytical, modeling, and simulation skills to solve complex warfighting problems in support of the USMC Operations Analysis Directorate (OAD). This role supports engagement-level analysis through the development and execution of analytical models, statistical methods, parametric and non-parametric techniques, regression analysis, and computer-based simulations using AFSIM. The analyst will develop mission-level representations of U.S., allied, and adversary forces executing warfighting concepts of operation. In addition, the analyst will advise operations research analysts, scientists, or engineers on appropriate analytical techniques, modeling approaches, and methods for addressing assigned problem sets.

Qualifications

Required:

  • Bachelor's degree from an accredited university in physics, mathematics, engineering, or an applied science discipline.
  • 2+ years of professional experience, including experience with AFSIM.
  • Active Secret clearance.

Desired:

  • Active TS/SCI clearance.
  • Master's degree in operations research, physics, mathematics, engineering, or an applied science discipline.
  • Prior experience writing Python, R, or MATLAB code for pre-processing, post-processing, data analytics, and data visualization.
Employment Type: FULL_TIME

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