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Assistant Data Analytics Jobs in Phoenix, AZ (NOW HIRING)

Stanley David and Associates

Data Analyst

Phoenix, AZ · On-site

This role provides opportunities to deepen your expertise in data analytics, data management, data ... • Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data ... • Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and ...

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data ... • Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and may assist senior analysts with report preparation and data management tasks.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Phoenix, AZ? The most popular types of Data Analytics jobs in Phoenix, AZ are:
What are popular job titles related to Assistant Data Analytics jobs in Phoenix, AZ? For Assistant Data Analytics jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Assistant Data Analytics jobs in Phoenix, AZ look for? The top searched job categories for Assistant Data Analytics jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Assistant Data Analytics jobs? Cities near Phoenix, AZ with the most Assistant Data Analytics job openings:
Assistant Data Analytics jobs near you
Infographic showing various Assistant Data Analytics job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Student Assistant - Data Science

Arizona State University

Scottsdale, AZ • On-site

$15.25 - $19.50/hr

Part-time

Posted 26 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 617 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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