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Regression Jobs (NOW HIRING)

Execute functional, regression, and user acceptance testing (UAT) for Liferay, PowerApps, and Business Intelligence applications. * Proficiency in developing, maintaining, and executing automated ...

Execute functional, regression, and user acceptance testing (UAT) for Liferay, PowerApps, and Business Intelligence applications. * Proficiency in developing, maintaining, and executing automated ...

Experienced Software Engineer with strong Java and Selenium skills,Develop automation scripts and execute regression suites,Develop automation scripts and execute regression suites

Develop automated regression test suites validating critical business workflows. * Perform load testing and performance validation ensuring system stability under production transaction volumes ...

Develop automated regression test suites validating critical business workflows. * Perform load testing and performance validation ensuring system stability under production transaction volumes ...

Develop automated regression test suites validating critical business workflows. * Perform load testing and performance validation ensuring system stability under production transaction volumes ...

Stages - Manual QA Role Tasks Requirement Analysis - Analyze Requirements/User Stories to understand Application under test Test Case Identification (New and Regression) Test Preparation - Create ...

Execute functional, regression, data validation, SAP workflow validation, and automation support activities. The testing scope includes ingestion validation, transformation accuracy, Snowflake-to ...

Execute functional and regression testing for web-based applications * Identify, analyze, and document software defects clearly * Validate database results using SQL queries * Test batches ...

Develop and scale Soft ECU / Virtual ECU and SIL capabilities for PRS programs to enable earlier integration, faster regression, and higher-quality releases. Key Responsibilities * Build and maintain ...

Building Regression Models (including Linear and Logistic Regression and Multinomial Regression Models) and handling multicollinearity, assumptions review, and evaluation of regression models using ...

GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using ...

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How much do regression jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for regression in the United States is $51.44, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $59.38 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as experienced sales representatives, commercial pilots, real estate brokers, or skilled trades like electricians and plumbers. These positions typically require specialized skills, certifications, or extensive experience rather than formal college degrees.

What jobs use regression analysis?

Regression analysis is used in a variety of jobs such as data analysts, statisticians, financial analysts, marketing analysts, and data scientists. These roles involve building models to predict outcomes, identify trends, and support decision-making using statistical tools like Excel, R, or Python. Strong analytical skills and understanding of statistical concepts are essential for these positions.

What types of projects or problems does a Regression Analyst typically work on, and how do they collaborate with other teams?

A Regression Analyst typically works on projects involving trend analysis, forecasting, and identifying relationships between variables using statistical models. They often collaborate closely with data scientists, business analysts, and subject matter experts to interpret results and ensure models align with business objectives. Regular responsibilities include data cleaning, model development, and presenting findings to stakeholders. Successful collaboration and communication are key, as their insights frequently inform decision-making across departments such as marketing, finance, and operations.

What is a real life example of regression?

A regression analyst might use regression analysis to predict housing prices based on factors like size, location, and age of the property. This involves analyzing historical data to identify relationships between variables and make forecasts, often using statistical software such as R or Python. Such skills are essential for making data-driven decisions in finance, marketing, and other industries.

What is regression in the context of data analysis and statistics?

Regression is a statistical method used to examine the relationship between a dependent variable and one or more independent variables. It helps in predicting the value of the dependent variable based on the values of the independent variables. Common types include linear regression, which models a straight-line relationship, and logistic regression, which is used for predicting categorical outcomes. Regression analysis is widely used in fields such as economics, finance, biology, and machine learning to identify trends, make forecasts, and understand variable relationships.

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

To thrive as a Regression Analyst, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant bachelor's or master's degree. Proficiency with statistical tools like R, Python, SAS, or SPSS, and experience with data visualization platforms are essential. Strong analytical thinking, attention to detail, and clear communication help in interpreting and presenting complex data findings. These skills are crucial for accurate modeling, data-driven decision-making, and effectively conveying actionable insights to stakeholders.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or working in regression analysis. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Success depends on your skills, experience, and continuous learning rather than age.
More about Regression jobs
What cities are hiring for Regression jobs? Cities with the most Regression job openings:
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What states have the most Regression jobs? States with the most job openings for Regression jobs include:
Infographic showing various Regression job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $106,997 per year, or $51.4 per hour.
Power Apps Tester

Power Apps Tester

TechSur Solutions

Reston, VA

Full-time

Posted yesterday


Job description

Company Description

TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers improving quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs.

Job Description

Role Overview

We are looking for a meticulous and innovative Power Apps Tester to ensure the quality, reliability, and functionality of our Microsoft Power Apps, Liferay, and Pentaho Business Intelligence solutions. The ideal candidate should have a strong background in automated software testing with Selenium scripts combined with hands-on experience in developing applications using Microsoft Power Platform tools. This role requires a unique blend of technical expertise, attention to detail, and problem-solving skills to support the development and rigorous testing of Power Apps, Liferay, and Pentaho Business Intelligence solutions.

Primary Responsibilities

  • Execute functional, regression, and user acceptance testing (UAT) for Liferay, PowerApps, and Business Intelligence applications.
  • Proficiency in developing, maintaining, and executing automated Selenium regression scripts in Java is essential.
  • Write, maintain, and execute automated Java-based Selenium regression testing scripts to validate application functionality across releases.
  • Support both manual and Selenium-based regression testing activities.
  • Validate application functionality across development, stage, and production environments.
  • Document testing results, defects, screenshots, and findings within Jira tickets.
  • Coordinate with developers to troubleshoot issues identified during testing.
  • Support sprint testing activities and verify resolutions prior to deployment.
  • Assist with production deployment validation and post-release verification activities.
  • Track defects and return failed stories to development teams for remediation when necessary.
  • Work within Agile/Scrum environments and participate in team coordination activities.
  • Maintain testing documentation, test evidence, and status updates for project stakeholders.
  • Develop and maintain PowerApps applications (Nice to have).

      Tools & Technologies

      • Jira
      • Selenium
      • GitHub
      • SharePoint
      • Liferay
      • PowerApps
      • Pentaho
      • Microsoft Teams
      • SAFe Agile / Scrum Methodologies
      • Regression & Functional Testing

      Additional Notes

      The role requires technical understanding of application workflows, testing methodologies, deployment processes, regression scripting, and system functionality to effectively support QA and release activities.

    Additional Information

    All your information will be kept confidential according to EEO guidelines.