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Research Assistant Data Analyst Jobs in Arizona (NOW HIRING)

Contexture

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Troubleshoot report issues, research data discrepancies, and implement corrective actions. * Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies ...

Contexture

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

Troubleshoot report issues, research data discrepancies, and implement corrective actions. * Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies ...

ALLIANCE CLINICAL LLC

Research Assistant

Phoenix, AZ · On-site

$19 - $26.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This role is responsible for collecting and documenting clinical data, obtaining informed consent ... The Research Assistant ensures compliance with study protocols, regulatory requirements, and ...

DM Clinical

Clinical Research Coordinator I (3932)

Phoenix, AZ · On-site

$23 - $30.50/hr

... assistant, data coordinator, laboratory personnel, or equivalent experience in a clinical research setting Credentials: * ACRP or equivalent certification is preferred * Registered Medical Assistant ...

CommonSpirit Health

Research Assistant

Phoenix, AZ

$18.25 - $25.25/hr

As a Research Assistant , you will perform routine clinical research activities under the direct ... Every day you will meticulously collect and organize research data, ensuring accuracy and ...

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Research Assistant Data Analyst information

See Arizona salary details

$26.1K

$66.8K

$127.7K

How much do research assistant data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for research assistant data analyst in Arizona is $66,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $77,800.00 per year, depending on experience, location, and employer.

What does a research assistant data analyst do?

A Research Assistant Data Analyst supports research projects by collecting, cleaning, analyzing, and interpreting data. They work closely with researchers to help design studies, manage datasets, perform statistical analyses, and visualize results. Their work helps ensure the accuracy and reliability of research findings, often contributing to publications and presentations. They may use software tools like Excel, SPSS, R, or Python to perform their tasks.

What are some common challenges research assistant data analysts face when working with large datasets, and how are these typically addressed?

Research Assistant Data Analysts often encounter challenges such as managing data quality, dealing with incomplete or inconsistent data, and ensuring data privacy. To address these issues, analysts use data cleaning techniques, standardized protocols, and collaborate closely with principal investigators or data engineers. They also frequently utilize specialized software and scripting languages to automate repetitive tasks and maintain data integrity. Open communication within the research team is essential to clarify data discrepancies and ensure accurate analysis.

What are the key skills and qualifications needed to thrive as a research assistant data analyst, and why are they important?

To thrive as a Research Assistant Data Analyst, you need a solid background in statistics, data management, and analytical methods, often supported by a relevant degree in fields like statistics, computer science, or social sciences. Familiarity with statistical software (such as SPSS, R, or Python), data visualization tools, and database systems is typically required. Attention to detail, critical thinking, and strong communication skills help in interpreting results and collaborating effectively with research teams. These skills are crucial for accurately analyzing data, generating insights, and supporting evidence-based decision-making in research projects.

What are popular job titles related to Research Assistant Data Analyst jobs in Arizona?

For Research Assistant Data Analyst jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Research Assistant Data Analyst jobs in Arizona look for?

The top searched job categories for Research Assistant Data Analyst jobs in Arizona are:

What cities in Arizona are hiring for Research Assistant Data Analyst jobs?

Cities in Arizona with the most Research Assistant Data Analyst job openings:

Research Assistant Data Analyst jobs near you
Infographic showing various Research Assistant Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,791 per year, or $32.1 per hour.

Student Assistant - Data Science

Arizona State University

Scottsdale, AZ • On-site

$15.25 - $19.50/hr

Part-time

Posted 29 days ago

Arizona State University rating

7.7

Company rating: 7.7 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

260th of 618 rated colleges and universities

Job description

Student Assistant, Data Science
In the role of Student Assistant - Data Science at ASU Enterprise Partners, you will contribute to the development and deployment of data science and AI solutions that create measurable business value. These may include analyses, predictive models, AI-enabled applications, automations, and other solutions designed to create business value. You will have the opportunity to explore new technologies and approaches, develop practical skills through hands-on experience, and make meaningful contributions to larger data science and AI initiatives with the support of experienced team members.
Your work will focus on developing and supporting data science and AI solutions that create measurable business value. We strive to align assignments with each student's technical background and areas of interest while providing opportunities to build new skills through hands-on experience. Projects may involve activities such as developing and validating queries, evaluating AI-generated outputs, supporting predictive models and deployed solutions, improving analytical workflows, or contributing to other initiatives that advance organizational goals.
Student employees are valued members of the Applied Data Science and Analytics (ADSA) team and have the opportunity to contribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields.
This position requires approximately 20 hours per week. This is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on-site.
What you'll do
  • Solution Development: Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support business objectives.

  • Analysis & Evaluation: Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.

  • Solution Design & Implementation: Support the design and implementation of data-driven and AI-enabled solutions that create measurable business value.

  • Deployment & Integration: Assist with deploying, integrating, testing, and maintaining solutions to ensure they are reliable, scalable, and effective.

  • Collaboration: Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizational objectives.

  • Technology Application: Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.

  • Continuous Improvement: Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.

  • Communication: Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

What you'll need
  • Technical Foundation: Experience with Python, SQL, and other data analysis, or technical tools commonly used in data science, analytics, software development, or artificial intelligence.

  • Analytical Thinking: Ability to evaluate information, break down complex problems, and contribute to data-driven and technology-enabled solutions.

  • Problem Solving: Demonstrated curiosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.

  • Quantitative Reasoning: Comfort working with data and applying quantitative or computational methods to practical problems.

  • Technical Learning Agility: Interest in exploring and applying emerging technologies, methodologies, and tools in support of business objectives.

  • Communication Skills: Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non-technical audiences.

  • Collaboration: Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.

  • Adaptability: Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.

Relevant qualifications
  • Currently enrolled in a Bachelor's, Master's, or other graduate degree program at Arizona State University in a technical, quantitative, or analytical discipline, or a related field. Must have an expected graduation date of Fall 2027 or later.

  • Has developed foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas through coursework, projects, research, or practical experience.

Preferred education and experience
  • Completion of an internship, research project, capstone, student organization project, or other hands-on experience involving data analysis, software development, artificial intelligence, analytics, automation, or related technical work.

  • Experience contributing to the development, testing, deployment, or support of technical solutions in academic, research, extracurricular, or professional settings.

Preferred skills and abilities
  • Technical Experience: Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.

  • Data & Analytics Experience: Familiarity with working with structured or unstructured data to support analysis, reporting, decision-making, or solution development. Exposure to Google Analytics (GA4) is a plus.

  • Artificial Intelligence Exposure: Exposure to modern artificial intelligence concepts, tools, or applications and an interest in their practical use to solve real-world problems.

  • Cloud & Technology Platforms: Familiarity with cloud-based or distributed computing environments and an understanding of how technology components can be integrated to support scalable solutions. Experience with Google Cloud Platform (GCP) and BigQuery is a plus.

  • Solution Development Mindset: Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.

  • Continuous Learning: Demonstrated enthusiasm for learning new technologies, methodologies, and approaches and applying them to evolving business challenges

Benefits
  • $30 bi-weekly cell phone reimbursement

  • Hands-on experience in a professional environment

  • Professional development plans

  • Opportunity to network with ASUEP leaders and other ASU students

  • Access to LinkedIn Learning and their 8,000+ courses

  • Professional skills workshops

About ASU Enterprise Partners
ASU Enterprise Partners is a nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University's reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty.
ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions.
At ASU Enterprise Partners
We serve
ASU and one another with integrity, trust and compassion
We engage
step up, own it, collaborate
We innovate.
continuously, fearlessly, make decisions and take risks
We care
that everyone feels respected and valued for who they are
ASU Enterprise Partners is an Equal Opportunity Employer

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