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Python Data Analysis Internship Jobs in Arizona (NOW HIRING)

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

Expert level programming skills in Python and experience with Data Science and ML packages and ... Excellent analytical written and verbal communication skills * Tech Stack Python SQL Docker ...

Freeport-McMoRan

Data Analyst II - Site

Bagdad, AZ · On-site

Responsibilities : • Use statistical and programming tools such as Python, SQL, Power BI analyzing data and develop actionable insights • Constructively challenges in site agile teams to develop ...

Agile Defense

Data Scientist - A365

Fort Huachuca, AZ · On-site +1

$85K - $95K/yr

Experience with SQL, PowerShell, Python, and R for data manipulation and extraction. * Strong analytical and problem-solving skills. * Excellent communication skills and the ability to convey complex ...

Agile Defense

$85K - $95K/yr

Experience with SQL, PowerShell, Python, and R for data manipulation and extraction. * Strong analytical and problem-solving skills. * Excellent communication skills and the ability to convey complex ...

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Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Arizona? The most popular types of Python Data Analysis jobs in Arizona are:
What are popular job titles related to Python Data Analysis Internship jobs in Arizona? For Python Data Analysis Internship jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Arizona look for? The top searched job categories for Python Data Analysis Internship jobs in Arizona are:
What cities in Arizona are hiring for Python Data Analysis Internship jobs? Cities in Arizona with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 2% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Broker Data Delivery Analyst- Remote

Broker Data Delivery Analyst- Remote

Blue Cross Blue Shield of Arizona

Phoenix, AZ • On-site, Remote

Full-time

Posted 4 days ago

Blue Cross Blue Shield Of Arizona rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

243rd of 261 rated insurance

Job description

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy. AZ Blue offers a variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.
At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:
  • Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week
  • Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week
  • Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month
  • Onsite: daily onsite requirement based on the essential functions of the job
  • Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building

Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.
This remote work opportunity requires residency, and work to be performed, within the State of Arizona.
Purpose of the job
Serves as the primary technical and analytical resource responsible for understanding how member, policy, premium, and agent assignment data flows from source systems into SAP Agent Performance Management (Callidus/APM), and how that data is used organizationally across commission processing, broker portal display, book of business management, and enterprise reporting.
Qualifications
REQUIRED QUALIFICATIONS
Required Work Experience
  • 3 years of experience in information systems analysis, data analysis, or a technical business analyst role in a complex business environment
  • 2 years of experience writing business or systems requirements documentation, including user stories, functional specifications, or source-to-target mapping
  • 2 years of experience conducting data audits, root cause analyses, or data reconciliations in a production environment
  • 2 years of experience working with ETL processes, delta file generation, or staged data delivery workflows
  • 1 year of experience applying automation tools, scripting, or AI-assisted technologies to improve data processing, reporting, or analytical workflows

Required Education
  • High-School Diploma or GED in general field of study (All Levels)

Required Licenses
  • N/A

Required Certifications
  • N/A

PREFERRED QUALIFICATIONS
Preferred Work Experience (All levels)
  • 3 years of experience in healthcare or insurance field with an emphasis on business processes and system analytics. AZBlue experience highly preferred.
  • 2 years of experience working with Health Rules Payor (HRP) or a comparable policy administration system for individual and group membership data
  • 3 years of experience contributing to enterprise or departmental data or system projects, including requirements definition, UAT, and delivery coordination
  • 3 years of experience with Alteryx for data transformation, ETL logic, or file generation workflows
  • 2 years of experience using AI-assisted tools (such as Microsoft Copilot, Python-based ML libraries, or natural language query tools) to accelerate data analysis, anomaly detection, or requirements documentation
  • 1 year of experience in project management or experience participating in corporate projects

Preferred Education
  • Bachelor's Degree in Business, Computer Information Systems, Management Information Systems, Data Science, Finance, or a related field of study

Preferred Licenses
  • N/A

Preferred Certifications
  • Business Analyst Certification (All levels)

ESSENTIAL job functions AND RESPONSIBILITIES
Data Analysis and Systems Knowledge
  • Maintains expert working knowledge of how member, policy, premium, and agent assignment data originates in source systems and flows through staging, transformation, and delivery into SAP APM (Callidus) for broker commission processing
  • Understands how systems route broker-relevant data from upstream sources to Callidus, including the rules governing delta file generation, record comparison logic, and data validation
  • Works closely with the Callidus product owner to understand how Callidus data is consumed organizationally beyond commissions, including how daily Callidus extracts feed the broker portal, Salesforce, Gaine/Coperor, and other systems and serves as the data SME for downstream data requirements and data quality issues
  • Writes and maintains intermediate to advanced SQL queries various data sources, relevant stages, and related databases to support commission file generation, reconciliation, reporting, and audit activities
  • Applies AI-assisted query and data analysis tools to accelerate investigation of large datasets, identify patterns in commission anomalies, and surface data quality issues that would be difficult to detect through manual review alone

Broker Portal Data Support
  • Serves as the Broker Commissions data SME for the broker portal, providing data clarification, analysis, and requirements support to Digital Product, IT, and portal project teams regarding how Callidus data drives portal content, including commission statements, book of business, and agent/firm relationships
  • Investigates and resolves broker portal data discrepancies including commission display errors, book of business inaccuracies, agent/firm association issues, and any additional data problems; coordinates with Digital Product and IT to implement fixes
  • Participates in broker portal modernization initiatives

Requirements and Documentation
  • Leads or participates in requirements-gathering sessions with business stakeholders, IT partners, Data Governance, Digital Product, and vendor teams to define scope, document business rules, and translate operational needs into technical specifications
  • Writes clear and structured business requirements, functional specifications, user stories, and source-to-target mapping documents for commission-related data files, system changes, portal data requirements, and project deliverables
  • Develops and maintains documentation including processing narratives, desk-level procedures, data dictionaries, business rule libraries, and audit reference materials
  • Reviews and provides feedback on technical requirements, release notes, and data mapping documents

Code Development, Automation, and File Generation
  • Writes and maintains SQL scripts, Alteryx workflows, and other code used to generate and validate commission input files including individual data delta files, agent assignment files, premium and count files, and retro/lookback files
  • Applies and maintains business rules for market segment classification, product categorization, and data transformation during ETL and file generation processes
  • Creates and maintains import data files and supports data loading activities within SAP APM (Callidus), including ad hoc and scheduled file generation and audit storage
  • Identifies, designs, and implements automation solutions - including RPA workflows, Alteryx scheduled workflows, and scripted processes - to reduce manual intervention, improve processing speed, and increase reliability in commission data delivery pipelines
  • Develops self-service reporting and automation capabilities that allow business users to access commission data, run standard reconciliations, and monitor data delivery status without requiring manual intervention from the analyst

Audit and Quality Assurance
  • Tests and validates system changes, configuration updates, data loads, and file format changes prior to deployment or UAT handoff
  • Supports internal and external audit activities by providing data extracts, documentation, and analysis as needed

Project Work
  • Contributes to and supports enterprise and departmental project work related to broker commissions data
  • Tracks project status, identifies risks, and communicates updates
  • Participates in program governance activities including change control, sprint planning, and requirements refinement sessions
  • The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
  • Perform all other duties as assigned.
competencies
REQUIRED COMPETENCIES
Required Job Skills (Applies to All Levels)
  • Intermediate proficiency in Microsoft SQL Server (T-SQL) for data extraction, transformation, reconciliation, and reporting
  • Working knowledge of ETL processes, delta file generation logic, and staged data delivery workflows
  • Intermediate proficiency in Microsoft Excel including pivot tables, data manipulation, and reporting
  • Demonstrated ability to write clear, structured business requirements and technical specifications
  • Demonstrated ability to use or learn AI-assisted tools to improve productivity, data analysis quality, and documentation accuracy
  • Strong understanding of file handling and data translation
  • Excellent verbal and written communication skills and the ability to interact professionally and maintain positive working relationships with a diverse group

Required Professional Competencies
  • Strong analytical and investigative skills with the ability to independently identify root causes of data and system issues
  • Ability to translate complex data and technical concepts into clear business language for non-technical audiences
  • Strong written and verbal communication skills; ability to interact professionally with business stakeholders, IT teams, Digital Product, and vendor partners
  • Ability to prioritize tasks and manage multiple workstreams under limited time constraints and across multiple concurrent projects
  • Ability to maintain confidentiality and privacy of sensitive commission, member, and premium data in compliance with HIPAA and corporate data governance requirements
  • Interpret and apply business policies, commission schedules, and regulatory requirements to data and system work
  • Establish and maintain effective working relationships across departments, IT, and vendor partners

Required Leadership Experience and Competencies
  • Support priorities and direction of corporate leadership
  • Ability to apply sound management decision making skills to perform effectively in the absence of management

PREFERRED COMPETENCIES
Preferred Job Skills (Applies to All Levels)
  • Advanced proficiency in SQL, Alteryx, or Power BI for large-scale data analysis, file generation, and reporting
  • Working knowledge of SAP APM (Callidus ICM) data structures and entities

Preferred Professional Competencies (Applies to All Levels)
  • Strong technical documentation skills, including data dictionaries, processing narratives, source-to-target mappings, and audit reference materials
  • Ability to define new opportunities for data quality improvement, intelligent automation, and process efficiency across commission operations and broker data delivery

Preferred Leadership Experience and Competencies
  • N/A

Our Commitment
AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.
Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.

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