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Data Analysis Intern Jobs in Arizona (NOW HIRING)

Proficiency in SQL for querying, validation, and data analysis * Experience creating data mappings and defining transformation logic * Familiarity with Agile or similar project delivery methodologies ...

Proficiency in SQL for querying, validation, and data analysis * Experience creating data mappings and defining transformation logic * Familiarity with Agile or similar project delivery methodologies ...

Proficiency in SQL, Python, R, or other data analysis tools. * Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical ...

Data Analyst

Phoenix, AZ ยท Remote

$5.7K - $6.5K/mo

Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data. * Develop and maintain SQL queries, data extracts, and report logic ...

Data Analyst

Phoenix, AZ ยท Remote

$5.7K - $6.5K/mo

Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data. * Develop and maintain SQL queries, data extracts, and report logic ...

Data Analyst

Phoenix, AZ ยท On-site

$5.7K - $6.5K/mo

Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data. * Develop and maintain SQL queries, data extracts, and report logic ...

Data Analyst

Tempe, AZ ยท On-site

Top Must-Have Skills * 4+ years of Data Analysis/Data Integration experience * Strong SQL experience (Azure SQL/SQL Server preferred) * Data Mapping, Data Profiling & Data Migration * Azure Data ...

Perform ad-hoc analysis and translate findings into actionable recommendations . * Collaborate with internal technical teams to improve data quality and enhance reporting capabilities. * Design ...

... Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(Google Cloud Platform), Data Integration & ETL, AI ...

Data Analyst

Phoenix, AZ ยท On-site

$100K - $110K/yr

... Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML ...

Data Analyst

Phoenix, AZ ยท On-site

$90K - $130K/yr

... Data Analysis & Analytics, Data Governance, Data Quality Management, Metadata & Data Lineage Management, Reporting & Visualization, Cloud Data Platforms(GCP), Data Integration & ETL, AI/ML ...

Showing results 41-60

Data Analysis Intern information

See Arizona salary details

$11

$20

$39

How much do data analysis intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analysis intern in Arizona is $20.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
What are the most commonly searched types of Data Analysis jobs in Arizona? The most popular types of Data Analysis jobs in Arizona are:
What cities in Arizona are hiring for Data Analysis Intern jobs? Cities in Arizona with the most Data Analysis Intern job openings:
Infographic showing various Data Analysis Intern job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,621 per year, or $21 per hour.

Full-time

Re-posted 26 days ago


Job description

Position Overview

We are looking for Data Analysts to support data migration and integration efforts by analyzing legacy data sources and defining data requirements for target systems. This role involves translating complex data structures into clear mapping specifications and ensuring accurate data transformation throughout the migration process.

The ideal candidate is comfortable working with large datasets, writing SQL queries, and collaborating with both technical and non-technical stakeholders. You will play an important role in ensuring data accuracy, consistency, and completeness as systems transition from legacy platforms to modern environments.

Key Responsibilities

  • Partner with developers, subject matter experts, and project stakeholders to gather and define data migration requirements
  • Examine source system data and map it to target system structures, ensuring alignment with business and technical needs
  • Create and maintain detailed data mapping documents, including transformation logic and business rules
  • Define processes for data cleansing, validation, and quality assurance during migration activities
  • Monitor and track data migration progress using project tracking tools, providing regular updates to stakeholders
  • Act as a key contact for data-related questions, ensuring clear communication and alignment across teams
  • Identify, document, and investigate data discrepancies or migration issues, and support resolution efforts
  • Collaborate with cross-functional teams to troubleshoot data challenges and improve migration outcomes
  • Support ongoing data validation and reconciliation to ensure integrity post-migration

Qualifications

  • Bachelorโ€™s degree in Computer Science, Information Technology, or a related field (or equivalent experience)
  • 4+ years of experience in data analysis, with exposure to data migration or data integration projects
  • Strong experience working with structured data and relational databases
  • Proficiency in SQL for querying, validation, and data analysis
  • Experience creating data mappings and defining transformation logic
  • Familiarity with Agile or similar project delivery methodologies is a plus

Skills and Experience

  • Solid understanding of data analysis techniques and data lifecycle concepts
  • Experience working with data migration or data conversion initiatives
  • Strong attention to detail with a focus on data accuracy and quality
  • Effective communication skills, with the ability to explain data concepts to diverse audiences
  • Ability to manage multiple priorities and work in a collaborative team environment
  • Strong analytical thinking and problem-solving capabilities
  • Familiarity with data migration tools or ETL processes (preferred)
  • Understanding of data governance, compliance, and best practices (nice to have)