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Python Data Analysis Internship Jobs in New Mexico

MJK Connections LLC

Senior Retail Analyst

Albuquerque, NM · On-site

$85K - $112K/yr

Solid understanding of programming languages such as Python or R for data analysis. * Proficient in digital advertising analytics tools, including GA4, Google AdWords, Google Tag Manager, social ...

CACI

RF Engineer / Analyst (NAVWAR)

Albuquerque, NM · On-site

... Python, R, or JUMP to automate data workflows, perform statistical analysis, and create interactive reports or dashboards Proficiency in Tools and Technologies: Proficient in some or all of the ...

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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?

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 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 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 are the most commonly searched types of Python Data Analysis jobs in New Mexico?

The most popular types of Python Data Analysis jobs in New Mexico are:

What are popular job titles related to Python Data Analysis Internship jobs in New Mexico?

For Python Data Analysis Internship jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis Internship jobs in New Mexico look for?

The top searched job categories for Python Data Analysis Internship jobs in New Mexico are:

Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Retail Analyst

MJK Connections LLC

Albuquerque, NM • On-site

$85K - $112K/yr

Full-time

Posted 6 days ago

Job description

This position plays a pivotal role in empowering the Retail division with actionable insights and process improvements that drive operational excellence, elevate member experiences, and fuel sustainable growth. By analyzing member behavior, operational workflows, and performance data, this role uncovers opportunities to optimize efficiency, reduce friction, and strengthen loyalty across the branch and contact center network. The Retail Analyst partners closely with leaders and frontline teams to translate insights into strategies, streamline processes, and ensure the successful implementation and adoption of improvements.

Essential Functions

Process Analyst Responsibilities

  • Analyze inefficient processes, design streamlined workflows and improve processing times to enhance the member experience and boost efficiency.
  • Recommend process improvements and craft data-driven solutions that streamline workflows, improve processing times, and reduce member friction.
  • Evaluate and update job aids and procedures for efficiencies, based on data analysis and member feedback.
  • Update procedures and review dates for department staff including content management in the credit union's knowledge base.

Insight Analyst Responsibilities

  • Create and visualize complex data into actionable insights to tell the story behind the numbers, enabling stakeholders across the credit union to make data-driven decisions.
  • Analyze member behavior and trends to uncover hidden opportunities for personalized experiences, stronger loyalty, and revenue growth.
  • Upload data into analytic dashboards or prebuilt workbooks.
  • Analyze data for trends and communicate to relevant staff.

Retail Support Responsibilities

  • Work cross-functionally with teams and leadership to develop data-driven strategies that align with our member-centric mission and ensure the credit union's long-term success.
  • Communicate with teams to ensure successful implementation and adoption of new processes.
  • Contribute to a culture of data-driven decision making, equipping teams with the tools and insights they need to thrive.
  • Participate in special projects and initiatives as needed.
  • Respond to requests through ticketing system, adhering to all departmental service level agreements.
  • Uphold compliance with the Bank Secrecy Act (BSA), which includes compliance with the Customer Identification Program and anti-money laundering policies and procedures.
  • Perform member file maintenance as needed.
  • Perform other duties as assigned.

Job Requirements

Qualifications:

Experience

  • Minimum 4 years' experience in product/process analysis, data analysis, business analysis, or a similar role.

Education

  • Bachelor's degree in business, economics, statistics, information technology, or a related field or more than two years of related experience.

Knowledge

  • Proficient in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
  • Advanced proficiency in Excel including pivot tables, vlookups, and chart creation.
  • Solid understanding of programming languages such as Python or R for data analysis.
  • Proficient in digital advertising analytics tools, including GA4, Google AdWords, Google Tag Manager, social media analytics etc.
  • Strong proficiency with Microsoft Office applications. Familiar and comfortable with information technology, particularly digital means of communication.

Skills/Abilities

  • Strong interpersonal and communication skills.
  • Excellent organizational skills and attention to detail.
  • Strong analytical and problem-solving skills.
  • Maintain high standards in accuracy, adaptability, judgment, reliability, and initiative.
  • Strong ability to translate quantitative data into actionable recommendations and to translate business objectives into marketing goals and measurements.

Physical Requirements/Work Environment

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift 5 pounds at times.
  • Frequent travel to job sites.