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Regression Analysis Jobs (NOW HIRING)

Senior Analyst

Boston, MA ยท On-site

$95K - $126K/yr

... regression analysis Performing research on accounting and valuation standards and literature Conducting industry, market structure, and competitor-positioning studies Reviewing and summarizing ...

Sr. Data Analyst

Tempe, AZ ยท On-site +1

$115K - $145K/yr

Understanding of how to leverage regression analysis and decision trees to prove merits of a proposed improvement * Strong MS Excel skills * Basic/Intermediate SQL skills * Basic Python skills

Showing results 41-60

Regression Analysis information

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$17

$32

$50

How much do regression analysis jobs pay per hour?

As of Sep 2, 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 is regression analysis?

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 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 are the key skills and qualifications needed to thrive in regression analysis, 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.

Is regression analysis a skill?

Regression analysis is considered a technical skill used in data analysis and statistical modeling. Proficiency typically involves understanding statistical concepts, using tools like Excel, R, or Python, and interpreting results accurately. It is often listed as a required skill in roles such as data analyst, data scientist, or quantitative analyst.

What jobs use regression analysis?

Regression analysis is used in a variety of jobs including data analysts, statisticians, financial analysts, marketing analysts, and research scientists. These roles involve analyzing data to identify trends, make predictions, and support decision-making, often using tools like Excel, R, or Python. Strong analytical skills and understanding of statistical methods are essential in these positions.
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What cities are hiring for Regression Analysis jobs?

Cities with the most Regression Analysis job openings:

What states have the most Regression Analysis jobs?

States with the most job openings for Regression Analysis jobs include:

Infographic showing various Regression Analysis job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $67,422 per year, or $32.4 per hour.

IT - Technology Lead | OpenSystem | Python - OpenSystem

Spruce Infotech

Phoenix, AZ โ€ข On-site

$132K - $162K/yr

Full-time

Re-posted 16 days ago


Job description

Job Title: Technology Lead | OpenSystem | Python - OpenSystem
Work Location: Phoenix, AZ 85027
Vendor Rate: XXX/hr
Contract duration: 12months
Target Start Date: 29 May 2026
Job Details:
Must Have Skills
Python (Pandas, NumPy, Scikitlearn, XGBoost),
SQL
java
Nice to have skills
GCP
ML Frameworks & Libraries
Detailed Job Description
Seeking Data Scientist and AIML Engineer with 6 years experience implementing enterprisescale machine learning platforms data science expertise in statistical modeling, predictive analytics, and business intelligence using Python, R, SQL, and advanced analytics frameworks, implementing regression analysis, clustering algorithms, and time series forecastingDeveloped expertise in Generative AI and Large Language Models LLMsHands on experience on Handling Database operations. Cassandra and Postgres
Minimum years of experience
5-8 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Cloud Platforms Services
Data Engineering Analytics
High customer orientation
Interview Process (Is face to face required?)
Yes