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Assistant Data Analyst Training Jobs in Arizona (NOW HIRING)

The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into ... S. Our mission is to empower professionals through advanced training, project placement, and ...

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

In this role you will assist members, staff, and third parties with general aspects of business intelligence/data analytics and associatedsupport for the Credit Union. Assist credit union members and ...

Data Analyst

Tucson, AZ · On-site

$78K - $98K/yr

In this role you will assist members, staff, and third parties with general aspects of business intelligence/data analytics and associated support for the Credit Union. Assist credit union members ...

The Data Analyst plays a crucial role in gathering, interpreting, and transforming data into ... S. Our mission is to empower professionals through advanced training, project placement, and ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Assist in the development and maintenance of reporting solutions, dashboards, KPIs, and analytical models to support business and operational needs. • Participate in cloud-based data platform ...

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 ...

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... Data Analysis, * data warehousing, * SSRS, * Business Objects, * T-SQL, * Testing and Healthcare ...

Support staff with Cityworks configuration, troubleshooting, and training. * Identify and acquire ... Serve as a data coordinator; assist in the annual audits of the department's performance measures ...

Data Analyst I

Tucson, AZ · On-site

$24.16 - $36.24/hr

The Data Analyst I applies departmental policies and procedures to resolve a variety of issues and ... education/training, key skills, and internal equity. Fair Labor Standards Act (FLSA) Non-Exempt ...

Data Analyst I

Tucson, AZ

$24.16 - $36.24/hr

The Data Analyst I applies departmental policies and procedures to resolve a variety of issues and ... education/training, key skills, and internal equity. Fair Labor Standards Act (FLSA)Non ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

May provide informal assistance such as technical guidance, and/or training to coworkers. May ... analysis, data modeling, reporting, relational database tools, data warehousing, database ...

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Assistant Data Analyst Training information

What is an assistant data analyst training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an assistant data analyst in training?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What are some common challenges faced by assistant data analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

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

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What are the most commonly searched types of Data Analyst Training jobs in Arizona?

The most popular types of Data Analyst Training jobs in Arizona are:

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

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

Student Assistant - Data Science

Scottsdale, AZ • On-site

Arizona State University
Colleges, Universities, and Professional Schools • 5 - 10K employees

$15.25 - $19.50/hr

Part-time

Re-posted yesterday


Arizona State University rating

7.8

Company rating: 7.8 out of 10

Based on 89 frontline employees who took The Breakroom Quiz


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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